Skocz do pozycji: 1.

Tytuł:

Methods of calculating ship resistance on limited waterways

Autorzy:

Skupień, E.
Prokopowicz, J.

Powiązania:

https://bibliotekanauki.pl/articles/259720.pdf

Data publikacji:

2014

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

ship resistance
inland waterways
regression analysis

Opis:

Nowadays predicting transportation costs is more and more important. Most significant part of inland navigation’s costs are the costs of fuel. Fuel consumption is related to operating conditions of ship’s propulsion system and its resistance. On inland waterways the ship resistance is strictly related to the depth of the waterway. There is a tendency to build a formula that allows its user to calculate the resistance of any inland waterway vessel, but researches claim that most of them are accurate only for particular types of ships and/or operating conditions. The paper presents selected methods of calculating ship resistance on inland waterways. These methods are examined for different types of ships and different conditions using results of model tests. The performed comparison enabled selecting the best option for pushboats and pushed barge trains, but also showed that any of the tested methods is good enough to be used for calculating the resistance of motor cargo vessels. For this reason, based on known equations and using the regression method, the authors have formulated a new method to calculate the resistance of motor cargo vessels on limited waterway. The method makes use of ship’s geometry and depth of waterway in relation to ship’s speed. Correlating the ship’s speed with its resistance and going further with fuel consumption, enables to calculate the costs of voyage depending on the delivery time. The comparison of the methods shows that the new equation provides good accuracy in all examined speed ranges and all examined waterway depths.

Źródło:

Polish Maritime Research; 2014, 4; 12-17
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 2.

Tytuł:

The Effect of Lagos State Government Expenditure on Maternal Mortality Ratio

Autorzy:

Abdulahi, Musodiq Adewale
Adegbite, Fadhilat Motunrayo

Powiązania:

https://bibliotekanauki.pl/articles/2122386.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

Maternal mortality
government expenditure
regression analysis

Opis:

Maternal mortality has posed a great problem in the health sector of most African countries. Nigeria’s maternal mortality ratio remains high despite efforts made to meet millennium development goal 5 (MDG5). This study used the Lagos state community health survey 2011 and the Lagos state health budget allocations 2011 to examine the effect of government expenditure on maternal mortality ratio. Factors like inadequate transportation facilities, lack of awareness, inadequate infrastructures, which contribute to high maternal mortality rate, can be traced back to revenue though under different ministries. The other ministries need to work and support the ministry of health in the fight against maternal, especially in Lagos state. Secondary data was compiled from the state budget, records of death in different local governments in the state and relevant reviewed literature. Regression analysis was used to analyze the hypothesis and it was discovered that government expenditure does not have a significant effect on maternal mortality based on the R-square coefficient. However, correlation coefficient gives a contrasting result. Hence, further research work, government expenditure from other local government areas need to be taken into consideration to arrive at a valid conclusion. It is difficult to ascertain how much of the revenue allocated was put to appropriate use, due to a high level of corruption.

Źródło:

Polish Psychological Bulletin; 2019, 50, 3; 247-253
0079-2993

Pojawia się w:

Polish Psychological Bulletin

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 3.

Tytuł:

Regression and Correlation Analysis of Labour and Resource Productivity Indicators Compared within the V4 Countries

Autorzy:

Jílková, Eva
Říhová, Veronika

Powiązania:

https://bibliotekanauki.pl/articles/1826066.pdf

Data publikacji:

2017-12-31

Wydawca:

Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach

Tematy:

Labour efficiency, Productivity, Correlation, Regression analysis, Trend analysis

Opis:

The paper is focused on the evaluation of labour and resource productivity compared within the Visegrad countries in the time period 2010 - 2015. The aim of the paper is to identify certain relations and connections between the indicators of labour and material resource productivity and compare the V4 countries from the perspective of these indices. The authors use the methods of the correlation and regression analysis and development trends

Źródło:

Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach; 2017, 42, 115; 171-183
2082-5501

Pojawia się w:

Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 4.

Tytuł:

Assessing Slovak Teachers’ Literacy and Related Non-cognitive Skills in the International Measurements PIAAC

Autorzy:

Šarvajcováy, Marcela
Rybanský, Ľubomír
Štrbová, Monika

Powiązania:

https://bibliotekanauki.pl/articles/1964343.pdf

Data publikacji:

2021-12-31

Wydawca:

Wydawnictwo Adam Marszałek

Tematy:

literacy
PIAAC
reading
teachers
regression analysis

Opis:

The study presents the results of PIAAC measurements and focuses on teachers as mediators of education and their achievements in literacy and skills in reading and writing at home and at work. Multiple regression analysis is used in the research to examine the influence of independent variables - earnings, age, gender and reading index - on the level of teachers’ literacy. Values of the coefficient of determination vary from 0.05 (Poland) to 0.23 (Belgium). The results are compared at the country level and show the position of Slovak teachers in these measurements. Also, they highlight the most successful countries and point to the countries with positions similar to Slovakia. Based on the research findings, it can be stated that the higher level of literacy is associated with a higher level of writing and reading activities at work more than at home. An important finding is also the result that in all countries, the literacy level declines with age.

Źródło:

The New Educational Review; 2021, 66; 133-146
1732-6729

Pojawia się w:

The New Educational Review

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 5.

Tytuł:

Zastosowanie analizy regresji w reprezentacyjnych badaniach społeczno-gospodarczych
Application of regression analysis in socio-economic sample surveys

Autorzy:

Raczkiewicz, Dorota

Powiązania:

https://bibliotekanauki.pl/articles/424803.pdf

Data publikacji:

2016

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

regression analysis
sample surveys
complex sample

Opis:

The aim of the article is to present how to carry out the classical and logistic regression analyses in sample surveys, describing the socio-economic phenomena, to which complex a sample was drawn. The object of the study are households in Poland, surveyed in the household budgets survey, conducted annually by the Central Statistical Office. The essence of the methods analysis of complex samples is based on taking into account an appropriate design sampling scheme in the estimation which includes stratification, weigh-ing, multistage sampling and adjustments for non-sampling errors. Parameters’ estimates and their variances’ estimates which measure the precision of the parameters’ estimates are different when using appropriate procedures for complex samples from the results which would be obtained if the procedures for simple sample were used. The SAS procedures for regression from complex samples were applied. It was possible due to the significant advances in computational techniques including the development of modeling software as well as increase its availability to users.

Źródło:

Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 1 (51); 31-47
1507-3866

Pojawia się w:

Econometrics. Ekonometria. Advances in Applied Data Analytics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 6.

Tytuł:

FACTORS INFLUENCING THE FINANCIAL LIQUIDITY OF THE FOOD INDUSTRY IN POLAND (Czynniki ksztaltujace plynnosc finansowa przedsiebiorstw przemyslu spozywczego w Polsce)

Autorzy:

Golas, Zbigniew
Bieniasz, Anna
Czerwinska-Kayzer, Dorota

Powiązania:

https://bibliotekanauki.pl/articles/599378.pdf

Data publikacji:

2010

Wydawca:

Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie

Tematy:

FINANCIAL LIQUIDITY
FOOD INDUSTRY
REGRESSION ANALYSIS

Opis:

The article presents the results of the analysis of the factors influencing the financial liquidity of the enterprises of food industry in Poland in 2005-2008. The analysis used the proposal to a causal relationship factors influencing the liquidity, where the level of financial liquidity is determined by the structure of assets, rotation of the current liabilities and the financing strategy.

Źródło:

Finansowy Kwartalnik Internetowy e-Finanse; 2010, 6, 3; 11-25
1734-039X

Pojawia się w:

Finansowy Kwartalnik Internetowy e-Finanse

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 7.

Tytuł:

The effect of Saharan dust on the copper uptake by Lemna minor

Autorzy:

Rashidi, Adeleh
Ergen, Şeyda Fikirdeşici
Karakas, Mehmet
Saydam, Ahmet C.
Altındağ, Ahmet

Powiązania:

https://bibliotekanauki.pl/articles/205117.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

Lemna minor
Saharan dust
regression analysis
copper

Opis:

In this study, the aim was to model the toxic effect of copper (Cu) and analyse the removal of Cu in aqueous Saharan and non-Saharan mediums by Lemna minor. Two separate test groups were formed: with Saharan dust (S) and without Saharan dust (WS). These test groups were exposed to 3 different Cu concentrations (0.05, 0.50 and 5.00 ppm). Time, concentration, and group-dependent removal efficiencies were compared using the non-parametric Mann-Whitney U test and statistically significant differences were found. The optimum removal values were tested at the highest concentration 79.6% in the S medium and observed on the 4th day for all test groups. The lowest removal value (16%) was observed at 0.50 ppm on the 1st day in the WS medium. When the S medium and WS medium were compared, in all test groups Cu was removed more successfully in the S medium than the WS medium contaminated by Cu in 3 different concentrations of (0.05 ppm, 0.50 ppm, 5.00 ppm). The regression analysis was also tested for all prediction models. Different models were performed and it was found that cubic models show the highest predicted values (R²). The R² values of the estimation models were found to be at the interval of 0.939–0.991 in the WS medium and 0.995–1.000 in the S medium.

Źródło:

Archives of Environmental Protection; 2019, 45, 4; 84-91
2083-4772
2083-4810

Pojawia się w:

Archives of Environmental Protection

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 8.

Tytuł:

Analysis of Fraxinus pollen seasons and forecast models based on meteorological factors

Autorzy:

Kubik-Komar, A.
Piotrowska-Weryszko, K.
Weryszko-Chmielewska, E.
Kaszewski, B.M.

Powiązania:

https://bibliotekanauki.pl/articles/2081720.pdf

Data publikacji:

2018

Wydawca:

Instytut Medycyny Wsi

Tematy:

allergy
regression analysis
aerobiology
airborne pollen
Fraxinus

Opis:

Introduction and objective. The timings of Fraxinus and Betula flowering and pollen release overlap, which may cause increased allergic reactions in sensitive people. The aim of the present study was to characterize Fraxinus pollen seasons in Lublin (central-eastern Poland) and to identify meteorological factors that most determine the occurrence of airborne pollen of this taxon, as well as obtain forecast models for the basic characteristics of the pollen season. Materials and method. The study was conducted in Lublin during the period 2001–2016, employing the volumetric method. The seasons were compared by PCA (Principal Component Analysis). To determine relationships between meteorological conditions and the pattern of pollen seasons, regression analysis was used. Data for the period 2001–2015 were used to create forecast models by applying regression analysis, while the 2016 data served to verify these models. Results. Season end date and seasonal peak date were characterized by the lowest variation. The biggest differences were found for peak value and total annual pollen sum. The average dates of occurrence of ash pollen grains in the air of Lublin were between 13 April 13 – 3 May 3, whereas, on average, the pollen peak date occurred on 23 April. The factor loading values for the PC1 variable indicate that it is most strongly correlated with peak value and total pollen sum, while the PC2 variable correlated with the pollen season start date and season duration (a negative correlation). Regression models were developed for the following pollen season characteristics: season start, end and duration, seasonal peak date, and total annual pollen sum. Conclusions. The fit of the forecast models was at the level of 62–94%. Analysis of the data showed that weather conditions mainly in February were important factors controlling the Fraxinus pollen season.

Źródło:

Annals of Agricultural and Environmental Medicine; 2018, 25, 2; 285-291
1232-1966

Pojawia się w:

Annals of Agricultural and Environmental Medicine

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 9.

Tytuł:

Optimization of characteristic diagram based thermal error compensation via load case dependent model updates

Autorzy:

Naumann, Christian
Glänzel, Janine
Dix, Martin
Ihlenfeldt, Steffen
Klimant, Philipp

Powiązania:

https://bibliotekanauki.pl/articles/2086271.pdf

Data publikacji:

2022

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

thermal effect
machine tool
compensation
regression analysis

Opis:

The compensation of thermal errors in machine tools is one of the major challenges in ensuring positioning accuracy during cutting operations. There are numerous methods for both the model-based estimation of the thermal tool center point (TCP) deflection and for controlling the thermal or thermo-elastic behavior of the machine tool. One branch of thermal error estimation uses regression models to map temperature sensors directly onto the TCP-displacement. This can, e.g., be accomplished using linear models, artificial neural networks or characteristic diagrams. One of the main limitations of these models is the poor extrapolation behavior with regard to untrained load cases. This paper presents a new method for updating characteristic diagram based compensation models by combining existing models with new measurements. This allows the optimization of the compensation for serial production load cases without the effort of computing a new model. The new method was validated on a 5-axis machining center.

Źródło:

Journal of Machine Engineering; 2022, 22, 2; 43--56
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 10.

Tytuł:

DETERMINANTS OF COMMERCIAL BANK LIQUIDITY IN HUNGARY

Autorzy:

Vodová, Pavla

Powiązania:

https://bibliotekanauki.pl/articles/599392.pdf

Data publikacji:

2013

Wydawca:

Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie

Tematy:

liquidity risk,
liquidity ratio,
panel data regression analysis

Opis:

This paper aims to identify determinants of liquidity among Hungarian commercial banks. The data cover the period from 2001 to 2010. Results of panel data regression analysis show that bank liquidity is positively related to capital adequacy of banks, interest rate on loans and bank profitability and negatively related to the size of the bank, interest margin, monetary policy interest rate and the interest rate on interbank transactions. The relation between the growth rate of GDP and bank liquidity is ambiguous.

Źródło:

Finansowy Kwartalnik Internetowy e-Finanse; 2013, 9, 4; 64-71
1734-039X

Pojawia się w:

Finansowy Kwartalnik Internetowy e-Finanse

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 11.

Tytuł:

DETERMINANTS OF COMMERCIAL BANK LIQUIDITY IN HUNGARY

Autorzy:

Vodová, Pavla

Powiązania:

https://bibliotekanauki.pl/articles/599692.pdf

Data publikacji:

2013

Wydawca:

Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie

Tematy:

liquidity risk
liquidity ratio
panel data regression analysis

Opis:

This paper aims to identify determinants of liquidity among Hungarian commercial banks. The data cover the period from 2001 to 2010. Results of panel data regression analysis show that bank liquidity is positively related to capital adequacy of banks, interest rate on loans and bank profitability and negatively related to the size of the bank, interest margin, monetary policy interest rate and the interest rate on interbank transactions. The relation between the growth rate of GDP and bank liquidity is ambiguous.

Źródło:

Finansowy Kwartalnik Internetowy e-Finanse; 2013, 9, 3; 64-71
1734-039X

Pojawia się w:

Finansowy Kwartalnik Internetowy e-Finanse

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 12.

Tytuł:

Use of regression analysis for comparative evaluation of accident hazard in Poland, by regions

Autorzy:

Prochowski, L.
Gidlewski, M.
Dąbrowski, F.

Powiązania:

https://bibliotekanauki.pl/articles/246586.pdf

Data publikacji:

2017

Wydawca:

Instytut Techniczny Wojsk Lotniczych

Tematy:

regression analysis
road accidents
accident hazard by regions

Opis:

Calculations carried out made it possible to characterize changes in the accident hazard, in numerical terms, based on the course of the regression line. An analysis of the distribution, by regions, of the accident hazard and, above all, the showing of changes in this hazard is an important contribution to the actions taken to improve the road transport system. The rate of decrease in the number of accidents undergoes changes, which are particularly conspicuous in some voivodships (provinces) against the background of the general process of decline in the nationwide number of accidents. A graph to characterize this hazard has been presented, plotted with taking into account the changes in the number of accidents, recorded in monthly steps for a period of 7 years. The rate of these changes was also evaluated, in medium-term and short-term intervals. The calculation results were used to ascertain whether a decline in the total number of accidents in Poland is accompanied by similar changes taking place in individual regions. The symptoms of increasing share of the number of accidents that occur in a few regions in the total number of accidents taking place in Poland may be a cause for alarm.

Źródło:

Journal of KONES; 2017, 24, 4; 255-264
1231-4005
2354-0133

Pojawia się w:

Journal of KONES

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 13.

Tytuł:

Results of radon CR-39 detectors exposed in schools due two different long-term periods

Autorzy:

Stojanovska, Z.
Boev, B.
Zunic, Z. S.
Bossew, P.
Jovevska, S.

Powiązania:

https://bibliotekanauki.pl/articles/147386.pdf

Data publikacji:

2016

Wydawca:

Instytut Chemii i Techniki Jądrowej

Tematy:

comparison
linear regression analysis
relative bias
U test

Opis:

The paper deals with the recent survey of indoor radon (Rn) results in schools, where paired CR-39 detectors were simultaneously exposed to different long-term periods, i.e., one detector was exposed during the whole year and the other one in the period of the school year duration. To be able to compare the results obtained, for its analysis, the relative bias and U tests were used. It was found that there are no systematic differences between the results, which points that the exposure of the detector during summer vacations did not affect the estimated average annual radon concentration. The paired results were modelled by a linear function, giving an extremely high coeffi cient of determination R2 = 0.99.

Źródło:

Nukleonika; 2016, 61, 3; 385-389
0029-5922
1508-5791

Pojawia się w:

Nukleonika

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 14.

Tytuł:

Application of multiple linear regression (MLR) analysis for concentration of chromite tailings by the flotation

Autorzy:

Deniz, Vedat

Powiązania:

https://bibliotekanauki.pl/articles/1449296.pdf

Data publikacji:

2020

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

chromite
tailing
flotation
separation
multiple linear regression analysis

Opis:

In this study, the concentration of chromite minerals by amine flotation of a chromite tailing (slime) with content 23.84% Cr2O3 from Yeşilova-Burdur (Turkey) was investigated. In experimental studies, firstly, some operating parameters of the rougher flotation observed for a low-grade chromite tailing were investigated. Secondly, multiple linear regression (MLR) analyses were performed to determine the effects of some operating parameters on the performance of the rougher amine flotation. From the experimental results, multiple linear regression equations were developed to predict the recovery and grade of the chromite concentrate, and the regression coefficients between experimental and predicted values were found to be quite good (R2 values of 0.772 and 0.917, respectively). Additionally, it was found that the conditioning time and low pH value using $H_2SO_4$ showed an important effect on the recovery and the grade of the chromite concentrate.

Źródło:

Physicochemical Problems of Mineral Processing; 2020, 56, 4; 579-589
1643-1049
2084-4735

Pojawia się w:

Physicochemical Problems of Mineral Processing

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 15.

Tytuł:

Forecasting Oil Crops Yields on the Regional Scale Using Normalized Difference Vegetation Index

Autorzy:

Lykhovyd, Pavlo

Powiązania:

https://bibliotekanauki.pl/articles/1839197.pdf

Data publikacji:

2021

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

regression analysis
remote sensing
soybean
sunflower
winter rape

Opis:

Early prediction of crop yields on large cropland areas is of a great importance for operational planning in the agrarian sector of economy and ensuring food security. Large-scale forecasts became possible owing to the introduction of remote sensing technologies in the systems of precision agriculture, providing the information on crops conditions both on a certain field and large croplands. The study on the forecasting of major oil crop yields, namely, sunflower (Helianthus annuus L), winter rape (Brássica nápus) and soybean (Glycine max), on the regional level in Kherson oblast of Ukraine was conducted using historical yielding data and monthly MODIS Terrain NDVI smoothed time series imagery with 250 m resolution of the period from 2012 to 2019. The statistical data on the crop yields were linked to the corresponding values of monthly NDVI to determine the type of inter-relationship and work out the regression models for the oil crops yield prediction based on the remotely sensed vegetation index. The highest correlation between the yields of the oil crops and NDVI with the best prediction accuracy were obtained by using the index values at the period of April for winter rape, July for sunflower, and August for soybean. The developed regression models have reasonable accuracy with the mean absolute percentage errors of predictions reaching 25.23 percent for sunflower, 18.28 percent for winter rape, and 13.24 percent for soybean. The models are easy in use and might be recommended for introduction in theory and practice of precision agriculture.

Źródło:

Journal of Ecological Engineering; 2021, 22, 3; 53-57
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 16.

Tytuł:

Mathematical models for occupational injuries analysis at the enterprises of the state forestry committee of Ukraine

Autorzy:

Tysovsky, L.
Stepanyshyn, V.

Powiązania:

https://bibliotekanauki.pl/articles/972975.pdf

Data publikacji:

2014

Wydawca:

Polska Akademia Nauk. Oddział w Lublinie PAN

Tematy:

occupational injuries
correlation and regression analysis
methods of multifactor analysis

Opis:

The paper focuses on the mathematical models for the study of occupational injuries at the enterprises of the State Forestry Committee of Ukraine over a period of ten years. The major conditions and causes of the accidents have been indicated. The relationship between individual pairs of variables that influence occupational injuries has been determined on the basis of correlation and regression analysis. The correlation dependences of the frequency of occupational injuries on individual factors have been obtained. Using the methods of multifactor analysis, the relationship between the number of injuries and workers' occupations as well as types of works Has been established. The results obtained can be used for enhancing the efficiency of safety measures at the enterprises of for estry with the aim of reducing the rate of injury.

Źródło:

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2014, 3, 2; 71-78
2084-5715

Pojawia się w:

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 17.

Tytuł:

Relationship between water content and grain weight in developing wheat grains.

Autorzy:

Chanda, S. V.
Singh, Y.D.

Powiązania:

https://bibliotekanauki.pl/articles/2198878.pdf

Data publikacji:

2002-06-23

Wydawca:

Instytut Hodowli i Aklimatyzacji Roślin

Tematy:

grain growth analysis
water content
biphasic regression analysis
Triticum aestivum

Opis:

Grains from basal (4th), central (8th) and apical (12th) spikelets of a wheat (Triticum aestivum L.) cultivar Lok-1 were investigated for their fresh weight, dry weight and water content. Each spikelet had 3 grains and so in all 9 grains were analyzed. Grain dry weight data was fitted to polynomial equations and biphasic linear regression analysis. The experiments described here indicated that grains having maximum water content had maximum grain weight and vice versa. Maximum water content and maximum grain weight showed a highly significant linear correlation (P < 0.001). It is suggested that in genetic manipulation in wheat, maximum water content can be a used as a reliable criterion to help in selection for final grain weight.

Źródło:

Plant Breeding and Seed Science; 2002, 46, 1; 55-60
1429-3862
2083-599X

Pojawia się w:

Plant Breeding and Seed Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 18.

Tytuł:

The determinants of Polish movies’ box office performance in Poland

Autorzy:

Gmerek, Natalia

Powiązania:

https://bibliotekanauki.pl/articles/540606.pdf

Data publikacji:

2015

Wydawca:

Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania

Tematy:

motion picture success
box office performance
multiple regression analysis

Opis:

This paper provides an empirical analysis of financial performance of movies produced in Poland between 2000 and 2011. To understand the reason for a motion picture’s success in the theatrical channel various factors concerning total domestic box office performance were regressed from the box office results of 207 movies. This study proposes that the success of a movie can be determined by three elements: product attributes, distribution-related variables and information sources. The results show that the production budget, movie type – sequel or adaptation, star power, genre, scope of the movie’s release and audience rating are closely related to box office, influencing it in a positive way. On the other hand, critics’ rating, release date (April, July, August) and strong competitive pressure from other movies have a substantial negative influence on box office. The results suggest that the overall movie quality (product-related variables) has an economically and statistically significant effect on total demand for Polish movies.

Źródło:

Journal of Marketing and Consumer Behaviour in Emerging Markets; 2015, 1(1); 15-35
2449-6634

Pojawia się w:

Journal of Marketing and Consumer Behaviour in Emerging Markets

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 19.

Tytuł:

Regression analysis for interval-valued symbolic data versus noisy variables and outliers
Regresja liniowa danych symbolicznych a zmienne zakłócające i obserwacje odstające

Autorzy:

Pełka, Marcin
Dudek, Andrzej

Powiązania:

https://bibliotekanauki.pl/articles/425104.pdf

Data publikacji:

2016

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

regression analysis
interval-valued symbolic data
noisy variables
outliers

Opis:

Regression analysis is perhaps the best known and most widely used method used for the analysis of dependence; that is, for examining the relationship between a set of independent variables (X’s) and a single dependent variable (Y). In general regression, the model is a linear combination of independent variables that corresponds as closely as possible to the dependent variable [Lattin, Carroll, Green 2003, p. 38]. The aim of the article is to present two suitable adaptations for a regression analysis of symbolic interval-valued data (centre method and centre and range method) and to compare their usefulness when dealing with noisy variables and/or outliers. The empirical part of the paper presents the results of simulation studies based on artificial and real data, without noisy variables and/or outliers and with noisy variable and outliers. The results are compared according to the values of two coefficients of determination 2 RL and 2 . RU The results show that usually the centre and range method obtains better results even when the data set contains noisy variables and outliers, but in some cases the centre method obtains better results than the centre and range method.

Źródło:

Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 2 (52); 35-42
1507-3866

Pojawia się w:

Econometrics. Ekonometria. Advances in Applied Data Analytics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 20.

Tytuł:

An identification source of variation on the water quality pattern in the Malacca River basin using chemometric approach

Autorzy:

Hua, A. K.

Powiązania:

https://bibliotekanauki.pl/articles/204612.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

hierarchical cluster analysis
discriminant analysis
principal component analysis
multiple linear
regression analysis

Opis:

The Malacca River basin experienced river water pollution which caused a major deterioration to the ecosystems and environmental health. This study is carried out to assess the water quality data and identify the pattern of water pollution sources in the study area, and also to develop a predictive performance of water quality in the Malacca River basin. A chemometric approach using a combination of HCA, DA, PCA, and MLR, was applied into twenty water quality variables from nine sampling stations that were collected from January until December of 2015 in the river basin. HCA pointed out three clusters, namely Cluster 1 (C1) with low pollution source, Cluster 2 (C2) with moderate pollution source, and Cluster 3 (C3) with high pollution source. In the DA analysis, the results showed 21 variables, 12 variables, and 9 variables for standard mode, forward stepwise mode, and backward stepwise mode, respectively. Meanwhile, the PCA indicated that the main source of pollutants is detected from residential, industrial, commercial, agricultural, animal livestock, as well as forest land. Among the three models developed from MLR analysis, C3 with a high pollution source is detected to be the most suitable model to be used for the prediction of Water Quality Index in the Malacca River basin. This study proposed for an effective river water quality management by having new water quality monitoring network to be designed for more practical use in order to reduce time and effort, as well as cost saving purposes.

Źródło:

Archives of Environmental Protection; 2018, 44, 4; 111-122
2083-4772
2083-4810

Pojawia się w:

Archives of Environmental Protection

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 21.

Tytuł:

The correlation of water quality parameters over wireless sensors generated dataset in the Sitnica River in Kosovo

Autorzy:

Ahmedi, Figene
Makolli, Shkumbin

Powiązania:

https://bibliotekanauki.pl/articles/28411654.pdf

Data publikacji:

2023

Wydawca:

Instytut Technologiczno-Przyrodniczy

Tematy:

monitoring
parameters’ pair
regression analysis
water quality
wireless sensor

Opis:

In this paper, the regression analysis technique is applied to a large water quality dataset for the Sitnica River in Kosovo. It has been done to assess the correlation between water quality parameters. The data are generated by a wireless sensors network deployed in Sitnica. A regression analysis is applied to four water quality parameters: temperature, dissolved oxygen, pH, and electrical conductivity. The correlation between each pair of parameters has been assessed by using the WEKA software package, which is a popular time-saving tool for data analysis in distinct domains. The data are pre-processed to exclude out-of-range values and then the assessment of correlation for the pairs of parameters is applied. In comparison to other pairs of water quality parameters, the results show that dissolved oxygen and electrical conductivity correlate particularly closely with temperature. Regression equations of these two pairs of parameters may provide inferred information on dissolved oxygen and electrical conductivity about the Sitnica River. Such information may otherwise not be available to resource managers in Kosovo. Moreover, due to its easy to use and availability as an open-source software, WEKA may aid decision-makers on the management providing almost real-time information about surface water quality within the basin. This can be particularly useful especially in the case of continuous observation of water quality and a huge dataset gathered by using wireless sensors.

Źródło:

Journal of Water and Land Development; 2023, 59; 8--12
1429-7426
2083-4535

Pojawia się w:

Journal of Water and Land Development

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 22.

Tytuł:

Estimating body mass from the astragalus in mammals

Autorzy:

Tsubamoto, T.

Powiązania:

https://bibliotekanauki.pl/articles/946014.pdf

Data publikacji:

2014

Wydawca:

Polska Akademia Nauk. Instytut Paleobiologii PAN

Tematy:

mammalia
astragalus
talus
regression analysis
body mass estimate
paleogene

Opis:

Astragalar fossils have been intensively studied as an indicator of the functional morphology and phylogenetic relation-ships of mammals. However, relatively few studies have investigated the relationship between astragalar size and body mass, usually with a focus on a particular taxonomic group. Here, univariate and multiple regression models are used to analyze the relationship between astragalar size and body mass based on an extensive sample of extant land mammals (11 orders, 48 species, 80 individuals; body mass ranging from 18 g to 3.4 t). The analyses revealed the size of the tibial trochlea to be a better predictor of body mass than the total size of the astragalus. Based on these results, estimates of the body mass of several Paleogene land mammals were calculated and compared to those of previous studies. Thus, for ex-ample, the body mass of “Baluchitherium”, the largest terrestrial mammal known to date, was estimated at about 10–15 t.

Źródło:

Acta Palaeontologica Polonica; 2014, 59, 2; 259-265
0567-7920

Pojawia się w:

Acta Palaeontologica Polonica

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 23.

Tytuł:

Evaluating the nexus between financial deepening and economic growth: evidence from Ukraine

Autorzy:

Kondrat, Iryna
Kots, Olha

Powiązania:

https://bibliotekanauki.pl/articles/949679.pdf

Data publikacji:

2018

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

financial deepening
economic growth
banking sector
multiple regression analysis

Opis:

In this paper systemic problems of Ukrainian banking sector are reviewed and the solutions are offered. The main objective of the study is to examine the relationship between a financial deepening and economic growth in Ukraine by estimating several multiple regression models over the 1993 to 2015 period. A real GDP growth per capita was used as an indicator for the economic growth. The domestic credit to private sector (% of GDP) was used as an index of financial depth. The study concludes that financial deepening causes a slight impact on the economic growth of Ukraine. A low level of impact is an indicator of a limitedness of lending to the real economy. This means that banking sector has not become the real driving force of the economic growth in Ukraine yet. The study suggests a statement that policy makers should design the policies which will encourage lending especially high tech production, small and mid-size business, micro financing to the real economy to promote economic growth and increase employment.

Źródło:

Financial Sciences. Nauki o Finansach; 2018, 23, 1; 49-64
2080-5993
2449-9811

Pojawia się w:

Financial Sciences. Nauki o Finansach

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 24.

Tytuł:

A new method for detecting cross-inhibition effects in the environmental biocatalytic processes

Autorzy:

Herke, Z.
Maskow, T.
Nemeth, Z.I.

Powiązania:

https://bibliotekanauki.pl/articles/80851.pdf

Data publikacji:

2015

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

biocatalysis
microorganism
enzyme
bioremediation
inhibition
modelling
regression analysis
principal component analysis

Źródło:

BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2015, 96, 4
0860-7796

Pojawia się w:

BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 25.

Tytuł:

Classification by multiple regression - a new approach towards the classification of extremes

Autorzy:

Enke, W.
Spekat, A.
Kreienkamp, F.

Powiązania:

https://bibliotekanauki.pl/articles/108605.pdf

Data publikacji:

2016

Wydawca:

Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy

Tematy:

empirical-statistical downscaling
regression analysis
climate analysis
climate projections
meteorological extremes

Opis:

There are numerous algorithmic classification methods that attempt to address the connections between different scales of the atmosphere, such as EOFs, clustering, and neural nets. However, their relative strength lies in the description of the mean conditions, whereas extremes are poorly covered by them. A novel approach towards the identification of linkages between large-scale atmospheric fields and local extremes of meteorological parameters is presented in this paper. The principle is that a small number of objectively selected fields can be used to circumscribe a local meteorological parameter by way of regression. For each day, the regression coefficients form a kind of pattern which is used for a classification based on similarity. As it turns out, several classes are generated which contain days that constitute extreme atmospheric conditions and from which local meteorological parameters can be computed, yielding an indirect way of determining these local extremes just from large-scale information. The range of applications is large. (i) Not only local meteorological parameters can be subjected to such a regression based classification procedure. It can be extended to extreme indicators, such as threshold exceedances, yielding on the one hand the relevant atmospheric fields to describe those indicators, and on the other hand grouping days with “favourable atmospheric conditions”. This approach can be further extended by investigating networks of measurement stations from a region and describing, e.g., the probability for threshold exceedances at a given percentage of the network. (ii) The method can not only be used as a filtering tool to supply days in the current climate with extreme conditions, identified in an objective way. The method can be applied to climate model projections, using the previously found parameter-specific combinations of atmospheric fields. From those fields, as they constitute the modelled future climate, local time series can be generated which are then analysed with respect to the frequency and magnitude of future extremes. The method has sensitivities (i) due to the degree to which there are connections between large-scale fields and local meteorological parameters (measured, e.g., by the correlation) and (ii) due to the varying quality of the different fields (geopotential, temperature, humidity etc.) projected by the climate model.

Źródło:

Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 25-39
2299-3835
2353-5652

Pojawia się w:

Meteorology Hydrology and Water Management. Research and Operational Applications

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 26.

Tytuł:

Analysis of trend changes in degree-day values of heating and cooling: broiler breeding case

Autorzy:

Yucel, A.
Atilgan, A.
Erdem, N.
Oz, H.

Powiązania:

https://bibliotekanauki.pl/articles/101664.pdf

Data publikacji:

2017

Wydawca:

Polska Akademia Nauk. Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich PAN

Tematy:

broiler
linear regression analysis
spearman rank correlation test
temperature
trend analysis

Opis:

An ideal broiler house should be designed to minimize the effects of weather changes and to keep indoor conditions at the comfort temperature of the animals. In this case, this should be done with minimum cost and possible lowest operating costs. Degree-day methods are used in order to have knowledge of the energy need of any structure. With this method, the measured values or meteorological data can be used to give information about the heating and cooling energy quantities of structures. Depending on the climate change in recent years, the changes need to be examined that have taken place in order to provide optimum comfort in animal barn. Isparta province and districts were selected as the study area. The longterm average daily temperature values are used from meteorological stations of the selected region. The heating and cooling degree day values were calculated for selected balance temperatures in broiler breeding. Linear Regression Analysis and Spearman Rank Correlation Test were conducted to determine the changes of these values due to climate change. In conclusion, it was determined that there were statistically significant trends at 5% significance level in Egirdir (21°C), Isparta (31-29-25 and 23°C), Kasimlar (18°C), Senirkent (31-29-25-23 and 21°C), Sutculer (all selected balance temperature values) and Yalvac (31-29-25-23 and 21°C) in terms of heating degree-day values, and in Atabey (29-25-23-21 and 18°C), Barla (25-23 and 21°C), Isparta (23-21 and 18°C), Senirkent (29- 25-23-21 and 18°C), Sutculer (29-25-23-21 and 18°C), Sarkikaraagac (25-23-21 and 18°C), Uluborlu (25-23-21 and 18°C) and Yalvac (25-23-21 and 18°C) in terms of cooling degree-day values. As a result, it has been concluded that more energy consumption will be a concern for heating and cooling of the broiler house that will be built in the province of Isparta.

Źródło:

Infrastruktura i Ekologia Terenów Wiejskich; 2017, II/2; 645-660
1732-5587

Pojawia się w:

Infrastruktura i Ekologia Terenów Wiejskich

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 27.

Tytuł:

Kinematic determinants of weapon velocity during the fencing lunge in experienced épée fencers

Autorzy:

Bottoms, L.
Greenhalgh, A.
Sinclair, J.

Powiązania:

https://bibliotekanauki.pl/articles/307476.pdf

Data publikacji:

2013

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

fencing
kinematics
lunge
regression analysis
velocity
kinematyka
płuca
prędkość
biomechanika

Opis:

The lunge is the most common attack in fencing, however there is currently a paucity of published research investigating the kinematics of this movement. The aim of this study was to investigate if kinematics measured during the épée fencing lunge had a significant effect on sword velocity at touch and whether there were any key movement tactics that produced the maximum velocity. Lower extremity kinematic data were obtained from fourteen right handed club épée fencers using a 3D motion capture system as they completed simulated lunges. A forward stepwise multiple linear regression was performed on the data. The overall regression model yielded an Adj R2 of 0.74, p ≤ 0.01. The results show that the rear lower extremity’s knee range of motion, peak hip flexion and the fore lower extremity’s peak hip flexion all in the sagittal plane were significant predictors of sword velocity. The results indicate that flexion of the rear extremity’s knee is an important predictor, suggesting that the fencer sits low in their stance to produce power during the lunge. Furthermore it would appear that the magnitude of peak flexion of the fore extremity’s hip was a significant indicator of sword velocity suggesting movement of fore limbs should also be considered in lunge performance.

Źródło:

Acta of Bioengineering and Biomechanics; 2013, 15, 4; 109-113
1509-409X
2450-6303

Pojawia się w:

Acta of Bioengineering and Biomechanics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 28.

Tytuł:

Zastosowanie modelu regresji do wyznaczenia współczynnika izolacyjności akustycznej przegrody niejednorodnej
Application of the regression model to determine sound insulation of a heterogeneous baffle

Autorzy:

Majkut, Leszek
Olszewski, Ryszard

Powiązania:

https://bibliotekanauki.pl/articles/315284.pdf

Data publikacji:

2019

Wydawca:

Instytut Naukowo-Wydawniczy "SPATIUM"

Tematy:

izolacyjność akustyczna
modelowanie
analiza regresji
sound insulation
modelling
regression analysis

Opis:

W artykule przedstawiono zastosowanie modelu regresji do oszacowania współczynnika izolacyjności akustycznej przegrody niejednorodnej na przykładzie przegrody dwumateriałowej. Sformułowano model regresji, następnie zastosowano go do wyznaczenia izolacyjności płyty. Uzyskane wyniki porównano z wynikami pomiarów.
Paper discussed the regression model which was used to determine the sound insulation of a two-materials baffle based on the known sound insulation of its layers.

Źródło:

Autobusy : technika, eksploatacja, systemy transportowe; 2019, 20, 12; 175-178
1509-5878
2450-7725

Pojawia się w:

Autobusy : technika, eksploatacja, systemy transportowe

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 29.

Tytuł:

Liniowe sieci neuronowe a metody analizy regresji w aspekcie ich wykorzystania w inżynierii rolniczej
Linear neural networks vs. regression analysis methods in the aspect of their applications in agricultural engineering

Autorzy:

Boniecki, P.

Powiązania:

https://bibliotekanauki.pl/articles/290860.pdf

Data publikacji:

2005

Wydawca:

Polskie Towarzystwo Inżynierii Rolniczej

Tematy:

sieci neuronowe
analiza regresji
metoda
neural netwoks
regression analysis
method

Opis:

Nieustanne dążenie badaczy do pełniejszego rozumienia i wyjaśnienia praw rządzących przyrodą spowodowało, że rosnącego znaczenia nabierają poszukiwania nowych metod badawczych, coraz efektywniej wspomagających procesy poznawcze. Należą do nich niewątpliwie uzupełniające modele symulacyjne, tworzone dedukcyjnie na zbiorach przesłanek, wynikających z aktualnego stanu wiedzy naukowej. Techniki eksperymentu wirtualnego, wspomagające proces badania złożonych systemów empirycznych, powinny znajdować zastosowanie praktyczne również w dyscyplinie naukowej, jaką jest inżynieria rolnicza. Dynamiczny rozwój technik informatycznych spowodował pojawienie się zupełnie nowych możliwości obliczeniowych, bazujących na wzorcach pochodzących bezpośrednio z obserwacji procesów naturalnych, a w szczególności pracy mózgu. Kluczową rolę spełniają tu metody sztucznych sieci neuronowych, stanowiące w wielu przypadkach modele ekwiwalentne (a często znacznie rozszerzające potencjalne widmo zastosowań) w stosunku do tradycyjnych metod statystycznych.
Endless efforts made by researches in order to better understand and explain principles governing the nature, has caused that it is becoming of greater importance to seek new investigation methods, which play an increasingly more significant role in enhancing the cognitive processes. Such are, beyond all doubt, the supplementary simulation models, created by inference based on the sets of indications, resulting from the current status of knowledge. Virtual experimentation techniques, aiding the process of examining complex empirical systems, should be utilized practically, also in such domain as the agricultural engineering. Dynamic growth of IT techniques has brought completely new computing capacities, based on the examples originating directly from observation of natural processes, especially the function of brain. The methods of artificial neural networks, which often serve as equivalent models (and often considerably extending potential spectrum of applications) in relation to traditional statistical methods, play the key role here.

Źródło:

Inżynieria Rolnicza; 2005, R. 9, nr 2, 2; 31-43
1429-7264

Pojawia się w:

Inżynieria Rolnicza

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 30.

Tytuł:

Modelling of investment development of national economy of Ukraine on basis of regression analysis

Autorzy:

Kuzmin, O.
Pyrog, O.

Powiązania:

https://bibliotekanauki.pl/articles/411317.pdf

Data publikacji:

2013

Wydawca:

Polska Akademia Nauk. Oddział w Lublinie PAN

Tematy:

modeling
investment development
national economy
Ukraine
postindustrial society
regression analysis

Opis:

The article considers the results of modeling of investment development of national economy of Ukraine during 2001-2011 on basis of regression analysis. Determine the influence of the investment to economic development of national economy of Ukraine. Sectors of national economy divided to three groups of level of investment impact to economic development.

Źródło:

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2013, 2, 3; 47-52
2084-5715

Pojawia się w:

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 31.

Tytuł:

Prediction of subsidence depression development
Predikce vývoje poklesové kotliny

Autorzy:

Doležalová, H.
Kajzar, V.

Powiązania:

https://bibliotekanauki.pl/articles/113451.pdf

Data publikacji:

2017

Wydawca:

STE GROUP

Tematy:

undermining
subsidence
prediction
regression analysis
podkopywanie
osiadanie
prognoza
analiza regressji

Opis:

An extensive network of points was repeatedly surveyed by GPS method to monitor the surface manifestations of undermining in the Louky locality near Karvina from 2006 to 2011. The aim was not only to record the development of the creating subsidence depression, its range, size of subsidence and horizontal shifts, but the task was also to predict the future state in the area. Such information is essential for planning surface reclamation and other uses of the undermined areas. Prediction of further development on the basis of GPS data and theoretical knowledge of the subsidence depression development was provided by regression analysis.
V letech 2006 až 2011 byla v lokalitě Louky v blízkosti Karviné opakovaně metodou GPS zaměřována rozsáhlá síť bodů s cílem sledovat povrchové projevy poddolování. Vedle zaznamenání vývoje vznikající poklesové kotliny, jejího rozsahu, velikostí poklesů a posunů, bylo naším úkolem stanovit předpokládaný budoucí stav v dané lokalitě. Tyto informace jsou podstatné při plánování rekultivací a dalšího využití poddolovaných oblastí. Predikci dalšího vývoje na základě dat z provedených GPS měření a teoretických znalostí vývoje poklesové kotliny poskytla regresní analýza.

Źródło:

Systemy Wspomagania w Inżynierii Produkcji; 2017, 6, 4; 208-214
2391-9361

Pojawia się w:

Systemy Wspomagania w Inżynierii Produkcji

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 32.

Tytuł:

Determinants of the prolongation of the yips in golfers: The roles of social support and overcommitment to sport

Autorzy:

Matsuda, Kojiro
Susaki, Yasuo
Aiba, Eriko
Sugiyama, Yoshio

Powiązania:

https://bibliotekanauki.pl/articles/2170356.pdf

Data publikacji:

2022

Wydawca:

Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego

Tematy:

movement disorder
social support
overcommitment
golf
multiple logistic regression analysis

Opis:

The yips are the loss of automated and finely controlled motor behavior in sport, affecting many golfers. Although studies have examined their causes and treatment, the social and psychological factors that contribute to their duration in golfers remain unknown. This study examined whether overcommitment and social support are related to prolonged symptoms of yips. The participants included 54 yips-affected golfers who completed measures to identify those who were overcommitted and explore their experiences with the yips and social support. Although there was a significant relationship between prolonged symptoms of the yips and overcommitment, social support was not related to its duration. The results contribute to the understanding of the prolongation of the yips in golfers and may apply to players in other sports.

Źródło:

Central European Journal of Sport Sciences and Medicine; 2022, 40; 33-44
2300-9705
2353-2807

Pojawia się w:

Central European Journal of Sport Sciences and Medicine

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 33.

Tytuł:

Enhancing the GDEMs of Egypt Using a Surface Subtraction Approach

Autorzy:

El-Ashmawy, Nagwa
Al-Krargy, Essam

Powiązania:

https://bibliotekanauki.pl/articles/2105517.pdf

Data publikacji:

2022

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

global DEM
DEM enhancement
empirical approach
linear regression analysis
Egypt

Opis:

This paper proposes an enhancement approach to improve the accuracy of global Digital Elevation Models (GDEMs) in Egypt. The proposed approach is an empirical one that depends on subtracting the heights error from the original DEM. The research includes the evaluation and enhancement of SRTM-1 (SRTM v4.1), ASTER GDEM v2, and AW3D30 v2 GDEMs, in Egypt, using 980 well distributed GPS/levelling points, that cover the entire country. The GPS/levelling points are divided into 500 control and 390 check points. The results show that the root mean square error (RMSE) in the SRTM, ASTER and AW3D30 are 3.99 m, 8.81 m, and 2.98 m respectively. For enhancing purposes, two different approaches are used: a linear regression analysis approach, and the proposed empirical surface subtraction approach. The results of the linear regression analysis approach show that the accuracies are improved by 3%, 16%, and 3% for SRTM, ASTER and AW3D30 respectively. However, the accuracies are improved by 5%, 23%, and 16% for SRTM, ASTER and AW3D30 respectively when the proposed approach is followed. After using the proposed approach, the obtained accuracy of the enhanced DEM reached 2.5 m.

Źródło:

Geomatics and Environmental Engineering; 2022, 16, 3; 57--77
1898-1135

Pojawia się w:

Geomatics and Environmental Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 34.

Tytuł:

The Fluidity of Al-Si Alloy: Computer Simulation of the Influence of Temperature, Composition, and Pouring Speed

Autorzy:

Futáš, P.
Petrík, J.
Pribulová, A.
Blaško, P.
Palfy, P.

Powiązania:

https://bibliotekanauki.pl/articles/351852.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

Al-Si
fluidity
computer simulation
regression analysis
Monte Carlo method

Opis:

The purpose of this study is to identify relationships between the values of the fluidity obtained by computer simulation and by an experimental test in the horizontal three-channel mould designed in accordance with the Measurement Systems Analysis. Al-Si alloy was a model material. The factors affecting the fluidity varied in following ranges: Si content 5 wt.% – 12 wt.%, Fe content 0.15 wt.% – 0.3 wt. %, the pouring temperature 605°C-830°C, and the pouring speed 100 g · s^-1 – 400 g · s^-1. The software NovaFlow&Solid was used for simulations. The statistically significant difference between the value of fluidity calculated by the equation and obtained by experiment was not found. This design simplifies the calculation of the capability of the measurement process of the fluidity with full replacement of experiments by calculation, using regression equation.

Źródło:

Archives of Metallurgy and Materials; 2018, 63, 4; 1799-1804
1733-3490

Pojawia się w:

Archives of Metallurgy and Materials

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 35.

Tytuł:

Consumers’ awareness on organic food: case of urban Sri Lanka

Autorzy:

Pushpa Malkanthi, S.H.
Dilini Rathnachandra, S.D.
Ruwani N. Weerasinghe, W.A.

Powiązania:

https://bibliotekanauki.pl/articles/2081181.pdf

Data publikacji:

2021

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie

Tematy:

consumers’ awareness
organic food
regression analysis
urban consumer
Sri Lanka

Opis:

The organic food market is rapidly expanding all over the world with the recent rise of concern in food safety and environmental protection. Thus, examining information about consumers’ awareness on organic food is one of the inspiring areas for producers and marketers to capture a greater market share successfully. Therefore, this study aimed at analyzing the consumer awareness towards organic food products while addressing socio-demographic factors affecting consumer awareness on organic food, knowledge of consumers about organic food, and their purchasing pattern. A sample of 600 consumers was selected from the main cities of six urban districts in Sri Lanka for the study. Data were collected via a consumer survey using a pre-tested questionnaire, from November 2018 to May 2019. The data analysis was carried out using frequencies, percentages, and multiple linear regression analysis. According to the results, the majority of the respondents were married females. The results revealed that Sri Lankan consumers have a better awareness on organic food. The results of the regression analysis highlighted that the consumers’ awareness is significantly affected by factors such as gender, marital status, education, and monthly income. Although most respondents have a good level of awareness on organic food, their buying trend is at a lower level. The findings of the study play an important role in promoting the organic food market and are essential for food marketing planners, researchers, and policymakers to enhance the organic food industry in the country in the future.

Źródło:

Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego; 2021, 21[36], 4; 25-36
2081-6960

Pojawia się w:

Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 36.

Tytuł:

Predicting students performance in giant slalom

Autorzy:

Mujanović, Edin
Atiković, Almir
Nožinović Mujanović,, Amra
Nurković, Nermin

Powiązania:

https://bibliotekanauki.pl/articles/1054872.pdf

Data publikacji:

2014

Wydawca:

Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego

Tematy:

impact
race
regression analysis
specific motor knowledge of alpine skiing

Opis:

The aim of this research is to determine the impact of specific motor knowledge of alpine skiing on success in giant slalom race of students. On a sample of 18 students of the Faculty of Physical Education and Sport there has been used set of four variables of specific motor knowledge of alpine skiing, as predictor variables, to determine the impact on the criterion variable modified giant slalom race. It was found that the variables dynamic long radius turns and skiing with the changes of rhythm and tempo together have a greatest predictor validity, at statistically significant level of p = 0.01, and that they are critical for success in modified giant slalom race of students. It can be concluded that the impact on the result in the modified giant slalom race for students have the level of mastering of advanced elements of ski technique, which at this level of knowledge is crucial in giant slalom competition. The results of this study may be of importance in creating programs for different levels of mastering of skiing techniques in both advanced ski school and some stages of competitive skiing, which is of great importance for the result in giant slalom and skiing in general.

Źródło:

Central European Journal of Sport Sciences and Medicine; 2014, 7, 3; 45-54
2300-9705
2353-2807

Pojawia się w:

Central European Journal of Sport Sciences and Medicine

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 37.

Tytuł:

Hammett spectral correlations in benzofuranyl flavonols

Autorzy:

Thirunarayanan, G.
Sekar, K. G.

Powiązania:

https://bibliotekanauki.pl/articles/412326.pdf

Data publikacji:

2014

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Benzofuranyl flavonols
Hammett equation
IR spectra
NMR spectra
Regression analysis

Opis:

A series containing eleven benzofuranyl flavonols have been prepared by cyclization of 3-hydroxybenzofuranyl chalcones with 30 % hydrogen peroxide in the presence of sodium bicarbonate. The synthesized flavonols were characterized by their physical constants, analytical and spectroscopic data. The infrared spectral νOH, CO stretches(cm-1), NMR chemical shifts of OH, CO(δ, ppm) of these flavonols were assigned and correlated with Hammett substituent constants, F and R parameters using single and multi linear regression analysis. From the results of statistical analyses, the effects of substituents on the above group frequencies were discussed.

Źródło:

International Letters of Chemistry, Physics and Astronomy; 2014, 6; 39-47
2299-3843

Pojawia się w:

International Letters of Chemistry, Physics and Astronomy

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 38.

Tytuł:

Non-destructive testing using uv-induced colour changes to predict mechanical properties of kraft packaging paper

Autorzy:

Gençer, Ayhan
Can, Ahmet
Kurt, Rıfat
Keşmer, Cengiz

Powiązania:

https://bibliotekanauki.pl/articles/2201358.pdf

Data publikacji:

2022

Wydawca:

Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna

Tematy:

packaging paper
UV effect
colour change
mechanical properties
regression analysis

Opis:

This study measured the decrease in some mechanical properties of kraft paper used in packaging and bag production by examining the colour changes occurring in accordingly prepared standard samples subjected to UV influence. Thus, it is aimed to predict the mechanical properties of packages that have been exposed to sunlight over long periods of time with the colour change measurement, which is a non-destructive test, without the packaging deformation. Since there are mechanical differences between the cross-machine width and machine length of fabricated papers, these were measured separately. Measurements were made on papers exposed to UV for 0, 120, 240, 360, 480, 600, and 720 h. Tensile strength, strain at break, and tensile energy absorption (TEA) values were measured and also predicted for the kraft paper. For the prediction, the time and colour change values were used as independent variables, whereas the mechanical properties were taken as the dependent variables. The relationship between the time and colour change and the tensile strength, strain at break, and TEA variables in both the cross-machine and the machine directions were significant at the 5% level, and the R2 values were within acceptable limits. The results showed that the mechanical properties of the papers under UV effect decreased proportionally with the increase of the UV time.

Źródło:

Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2022, 65, 210
1644-3985

Pojawia się w:

Drewno. Prace Naukowe. Doniesienia. Komunikaty

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 39.

Tytuł:

Seed Yield and Its Components in Three Festuca Species

Autorzy:

Żurek, Grzegorz
Prokopiuk, Kamil
Martyniak, Danuta
Rachwalska, Agnieszka
Paszkowski, Eugeniusz
Woźna – Pawlak, Urszula
Jurkowski, Maciej

Powiązania:

https://bibliotekanauki.pl/articles/2199687.pdf

Data publikacji:

2018-12-20

Wydawca:

Instytut Hodowli i Aklimatyzacji Roślin

Tematy:

meadow fescue,
leaf,
multiple regression analysis,
red fescue,
tall fescue

Opis:

An experiment has been performed in four locations in Poland (Radzików, Leszno, Szelejewo and Nieznanice).Fifteen genotypes from three species (tall fescue - Festuca arundinacea, meadow fescue - F. pratensisand red rescue - F. rubra) were measured and observed during two consecutive years. Despite of phenologicalobservations (heading and flowering start dates), biometrical measurements (plant height, leaf dimension,number of generative stems etc.) and physiological trait (chlorophyll contents index) seed yield of singlepanicle, seed yield of plant and seed yield per plot (i.e. 50 plants) were determined.Significant effects of years, locations and genotypes were calculated for mentioned species for almost alltested traits. Multiple linear regression analysis was used to estimate major predictors of seed yield. It resultedin different numbers of predictors for different species. For meadow fescue five, for red fescue – three and fortall fescue – only two statistically significant predictors were selected. For all species leaf width and numberof generative stems were statistically significant and had positive weights. For meadow and red fescue – alsoseed yield from single inflorescence was significant with positive weight. Our results demonstrate that leafwidth together with number of steams and single panicle yield are the most important determinants of plantseed yield in three Festuca species.

Źródło:

Plant Breeding and Seed Science; 2018, 77; 15-31
1429-3862
2083-599X

Pojawia się w:

Plant Breeding and Seed Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 40.

Tytuł:

Biological Absorption of Chemical Elements in Topinambur Plants by Separation of Wastewater in Podzol Soil

Autorzy:

Lopushnyak, Vasyl
Hrytsuliak, Halyna
Kozova, Iryna
Jakubowski, Tomasz
Kotsyubynska, Yulia
Polutrenko, Miroslava
Kozan, Natalia

Powiązania:

https://bibliotekanauki.pl/articles/2173361.pdf

Data publikacji:

2022

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

Jerusalem artichoke
Helianthus tuberosus
sewage sludge
biological uptake
correlation analysis
regression analysis

Opis:

The application of sewage sludge as a fertilizer in podzols soil ambiguously affects the peculiarities of the accumulation of certain chemical elements in various organs of the Jerusalem artichoke plants. Experimental factors in the study were different doses of sewage sludge from sludge maps of wastewater treatment plants and its compost with cereal straw, included together with the compensatory dose of mineral fertilizers to the norm N90P90K90 in the Jerusalem artichoke plantation. Determination of the content of chemical elements in soil and plants was carried out by X-ray fluorescence analysis. According to the results of research, it was established that the change of mineral nutrition conditions of Jerusalem artichoke causes significant changes in the chemical composition of its tubers and vegetative mass. Studies have shown a clear positive effect of increasing doses of SS on increasing the content in tubers: K – to 7.9%, Ca – to 1.9, Fe – to 1.9, in green mass: O – to 31.8%, K – to 31.6, Ca – to 24.9, Mg – to 5.9, Mn – to 0.7, Fe – to 0.4 and K – to 34.5%. The coefficients of biological absorption for most chemical elements are more than 1, but for O, Al, Si, Fe, these figures were less than 1. Regression models of phosphorus, potassium, calcium and magnesium content in the vegetative mass of Jerusalem artichoke indicate a high and moderate dependence of these indicators on their content in Jerusalem artichoke tubers and soil.

Źródło:

Journal of Ecological Engineering; 2022, 23, 9; 18--24
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 41.

Tytuł:

Improving Diesel Engine Reliability Using an Optimal Prognostic Model to Predict Diesel Engine Emissions and Performance Using Pure Diesel and Hydrogenated Vegetable Oil

Autorzy:

Žvirblis, Tadas
Hunicz, Jacek
Matijošius, Jonas
Rimkus, Alfredas
Kilikevičius, Artūras
Gęca, Michał

Powiązania:

https://bibliotekanauki.pl/articles/28328353.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN

Tematy:

engine’s reliability
statistical regression analysis
linear regression models
ANCOVA
MAPE
hydrotreated vegetable oil

Opis:

The reliability of internal combustion engines becomes an important aspect when traditional fuels with biofuels. Therefore, the development of prognostic models becomes very important for evaluating and predicting the replacement of traditional fuels with biofuels in internal combustion engines. The models have been made to model AVL 5402 engine emission, vibration, and sound pressure parameters using a three-stage statistical regression models. The fifteen parameters might be accurately predicted by a single statistic presented here. Both fuel type (diesel fuel and HVO) and engine parameters that can be adjusted were considered, since this analysis followed the symmetry of the methods. The data analysis process included three distinct steps and symmetric statistical regression testing was performed. The algorithm examined the effectiveness of various engine settings. Finally, the optimal fixed engine parameter and the optimal statistic were used to construct an ANCOVA model. The ANCOVA model improved the accuracy of prediction for all fifteen missing parameters.

Źródło:

Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 174358
1507-2711

Pojawia się w:

Eksploatacja i Niezawodność

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 42.

Tytuł:

Endotoxin exposure and changes in short-term pulmonary function among sewage workers

Autorzy:

Cyprowski, Marcin
Sobala, Wojciech
Buczyńska, Alina
Szadkowska-Stańczyk, Irena

Powiązania:

https://bibliotekanauki.pl/articles/2177186.pdf

Data publikacji:

2015-06-25

Wydawca:

Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi

Tematy:

sewage workers
endotoxin exposure
inhalable dust
smoking
lung function
regression analysis

Opis:

Objectives The inhaled endotoxin is considered as a causative factor in the process of acute bronchial obstruction, which can be measured by a decrease in forced expiratory volume in 1 s (FEV₁). The aim of this study was to assess endotoxin exposure among sewage treatment plant workers (STPW) and its effect on across-shift changes in respiratory airflow. Material and Methods A group of 78 STPW from a large sewage treatment plant was studied. Inhalable dust for endotoxin assessment was collected using personal aerosol samplers. Endotoxin was assayed with the kinetic, chromogenic Limulus amebocyte lysate test. Across-shift spirometric measurements were performed on Mondays, after 2-days absence from work, with the use of portable spirometer. The forced vital capacity (FVC), and FEV₁ parameters were analyzed. Multifactor regression modeling was performed to determine parameters significantly associated with endotoxin exposure. Results The concentration of inhalable dust and endotoxin ranged from 0.01–1.38 mg/m³ and 0.68–214 endotoxin units per cubic meter of air (EU/m³), respectively. Endotoxins were characterized with the skewed distribution (arithmetic mean (AM) = 38.8 EU/m³, geometric mean (GM) = 15.4 EU/m³, geometric standard deviation (GSD) = 4.21). Through the use of multifactor analysis, which excluded the main confounders (inhalable dust and smoking habit) it was found that, despite low levels of endotoxin, it had significant impact on the observed across-shift decline in FEV₁ (p = 0.044). For this parameter, the regression slope was additionally calculated (r = –0.017, p = 0.071). Conclusions Relatively low levels of endotoxin among sewage treatment plant workers may cause small, but significant across-shift declines in FEV₁. The observed relationship was independent of organic dust concentrations and smoking habit. The respiratory protection should be provided for STPW.

Źródło:

International Journal of Occupational Medicine and Environmental Health; 2015, 28, 5; 803-811
1232-1087
1896-494X

Pojawia się w:

International Journal of Occupational Medicine and Environmental Health

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 43.

Tytuł:

Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia

Autorzy:

Martynova, Natalia
Budarova, Valentina
Kravchenko, Victoria

Powiązania:

https://bibliotekanauki.pl/articles/2068459.pdf

Data publikacji:

2022

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

regression analysis
hydrocarbon
surface water
snow cover
GIS mapping service
ecology

Opis:

The article presents the generalized results obtained from the analysis of oil pollution of surface waters in the fields of the Far North. The research considered the administrative territorial division of the Russian Federation, the territory of the Khanty-Mansi Autonomous Okrug – Yugra (KhMAO). The results of the study performed on the basis of field data on sampling for the year were presented. The influence of the hydrocarbon content in surface waters and snow cover was assessed. The aim of the work was to consider the snow cover as a natural source of pollutants, affecting the accumulation in surface waters and snow cover. The results obtained can be used for subsequent observations of snow cover and surface waters. The data obtained can serve as a basis for planning further research and developing the solutions for environmental protection in the Far North. The analysis of the dependencies between the indicators of hydrocarbon pollution in surface waters and snow cover was carried out using the methods of correlation and parametric multivariate regression analysis. The methods of geoinformation analysis and GIS technologies were also used in the work. It was revealed that the problem of the state of snow cover and its role as an indicator of atmospheric and soil pollution require further research. On the one hand, the snow cover detains metals, and polluted soil areas are formed locally, on the other hand, after the snow melts, the pollutants remaining on the surface with surface runoff enter rivers and are carried by the wind for quite long distances.

Źródło:

Journal of Ecological Engineering; 2022, 23, 3; 74--83
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 44.

Tytuł:

Effects of bank-specific factors on the net interest margin of working banks in Palestine

Autorzy:

Asmar, Muath

Powiązania:

https://bibliotekanauki.pl/articles/522350.pdf

Data publikacji:

2018

Wydawca:

Uniwersytet Ekonomiczny w Katowicach

Tematy:

Banking sector
Financial intermediation
Net interest margin
Palestine
Panel regression analysis

Opis:

Aim/purpose – The main purpose of the study is to investigate the bank-specific factors that influence the net interest margin of banks in Palestine. Design/methodology/approach – An econometric model using random effect panel regression was used to estimate data for all 17 working banks from 2006 to 2016. Findings – Result indicates that several factors, including credit risk, risk aversion, bank orientation, and foreign banks, have statisti cally significant effects on the net interest margin. However, results also show that su ch factors as operating expenses, management efficiency, Islamic bank, and time trend are not statistically significant. Research implications/limitations – The main policy lesson drawn from this study is that the net interest margin of working bank s in Palestine could be further enhanced by formulating regulatory policies regarding bank-specific factors, such as credit risk, risk aversion, bank orientation, and foreign ba nks. The most significant limitation of the study was the availability of data. Despite th e fact that several bank-specific factors were identified in the literature as a determinan t of the net interest margin, only the factors that have an available data were used in the study. Originality/value/contribution – The results of research introduced in the study make theoretical and practical contributions to th e body of knowledge. It fills the gap related to the bank-specific factors that influence the net interest margin of banks in Palestine, which have specific conditions and atypical situation.

Źródło:

Journal of Economics and Management; 2018, 33; 5-24
1732-1948

Pojawia się w:

Journal of Economics and Management

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 45.

Tytuł:

Self-Regulated Learning and Tinto’s Model: An Empirical Study on University Students

Autorzy:

Tat, Huam Hon
Jantan, Muhamad
Rasli, Amran Md

Powiązania:

https://bibliotekanauki.pl/articles/45633657.pdf

Data publikacji:

2012-09-30

Wydawca:

Wydawnictwo Adam Marszałek

Tematy:

self-regulated learning
Tinto’s model
linear regression analysis
public university

Opis:

This study uses the self-regulated learning and Tinto’s model to explain the relationship between academic performance and student satisfaction in a public university in Malaysia. A total of 299 Malaysian undergraduate students were chosen and personally given questionnaires. An important outcome of this study was the existence of a relationship between academic performance and student satisfaction. One interesting finding was that students with a lower cumulative grade point average (CGPA) tend to be more satisfied than those who obtained higher CGPA.

Źródło:

The New Educational Review; 2012, 29; 183-191
1732-6729

Pojawia się w:

The New Educational Review

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 46.

Tytuł:

Earnings management model for Visegrad Group as an immanent part of creative accounting

Autorzy:

Kováčová, Mária
Hrosova, Lenka
Durana, Pavol
Horak, Jakub

Powiązania:

https://bibliotekanauki.pl/articles/19322663.pdf

Data publikacji:

2022

Wydawca:

Instytut Badań Gospodarczych

Tematy:

creative accounting
central Europe countries
model of creative accounting
regression analysis

Opis:

Research background: Creative accounting practices do not frequently violate the law and are not considered illegal; however, accounting managers may exploit legal ambiguities to portray the company's financial standing in accordance with management preferences. Therefore, the analysis is focused on the detection of earnings management in companies operating in the Visegrad Group, which represents one of the most commonly used techniques for revealing creative accounting. Purpose of the article: The aim of the presented study is to reveal the presence of creative accounting through the detection of earnings management in the countries of the Visegrad Group and, based on the detected results, to propose a regression model of earnings management in the Visegrad Group. Methods: To reveal the use of creative accounting in the Visegrad Group, ten selected models of earnings management were applied during the period 2016-2020 to a set of 8,134 companies. The Mann-Whitney test and multiple linear regression were used to verify the existence of earnings management. These findings served as the basis for the creation of the linear regression model of earnings management in the Visegrad Group. Findings & value-added: The presence of earnings management was best captured by the Hribar and Collins model in companies operating in the Visegrad Group in the period 2016-2020. The findings also confirmed that positive discretionary accruals acquired higher values over the entire period when compared to negative discretionary accruals, confirming that companies in the surveyed group manage their profits primarily by increasing them. Therefore, we created a regression model, that can serve as a unique basis and is capable of revealing the use of earnings management in the Visegrad Group, as until now nothing like this has been implemented in these countries. In conclusion, this study offers insights for academicians and researchers on creative accounting in the selected period. Lastly, the study contributes to the existing theory by conducting new research on the earnings management determinants of the countries studied.

Źródło:

Oeconomia Copernicana; 2022, 13, 4; 1143-1176
2083-1277

Pojawia się w:

Oeconomia Copernicana

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 47.

Tytuł:

The Impact of Public Debt on Economic Growth in Ukraine

Autorzy:

Kondrat, Iryna
Pozniakova, Olena
Chervinska, Oksana

Powiązania:

https://bibliotekanauki.pl/articles/957640.pdf

Data publikacji:

2019

Wydawca:

Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej

Tematy:

public debt
economic growth
debt-to-GDP ratio
multiple regression analysis

Opis:

Theoretical background: The growth in government borrowing, carried out in connection with the banks’ capitalisation, significantly increased the state budget expenditures aimed at servicing the capitalisation domestic public debt, which reinforces the general tendency regarding the exacerbation of the budget risk in the debt sphere in Ukraine. A weighty debt-creating factor was the budget deficit, which was covered by borrowing. Proceeding ahead of the rate of increase in debt volumes in comparison with gross domestic product (GDP) growth rates under the influence of internal and external destabilising factors contributed to the excess of the debt levels security indicators and increased the insolvency risk of the state. The increase of the obligations share denominated in foreign currency or linked to the exchange rate in the overall debt structure as an important indicator of the financial system’s vulnerability to exchange rate fluctuations creates additional threats to debt sustainability regarding the increasing currency risk and the national currency devaluation.Purpose of the article: The article is focused on studying the dynamics and structure of Ukraine’s public debt, its ratio to GDP, and an empirical analysis of the relationship between public debt (external and domestic) and economic growth in Ukraine.Research methods: To empirically test the relationship between public debt and economic growth in Ukraine over the 1992 to 2018 period, multiple regression models were conducted. A real GDP per capita was used as an indicator for economic growth and the debt-to-GDP ratio was used as an index of public debt. Research hypotheses were the following: H1: The public external debt-to-GDP ratio and GDP per capita have a strong negative and statistically relevant correlation; H2: The public domestic debt-to-GDP ratio and GDP per capita have a strong negative and statistically relevant correlation.Main findings: Examining the dynamics and structure of Ukraine’s public debt by borrowing market (external and domestic), it is concluded that there is no strong negative or positive statistically relevant correlation between the public debt-to-GDP ratio and GDP per capita for Ukraine. The impact of this factor is so insignificant that it encourages further research to verify that low GDP growth rate causes the increase in Ukraine’s public debt.

Źródło:

Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia; 2019, 53, 4; 91-100
0459-9586

Pojawia się w:

Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 48.

Tytuł:

Personnel certification as a necessary condition for enterprise’ staff development

Autorzy:

Kis, Sviatoslav
Mosora, Larysa
Mosora, Yurii
Yatsiuk, Oleh
Malynovska, Galyna
Pobihun, Serhii

Powiązania:

https://bibliotekanauki.pl/articles/410197.pdf

Data publikacji:

2020

Wydawca:

STE GROUP

Tematy:

personnel certification
enterprises’ technical staff
correlation and regression analysis
well drilling

Opis:

The theoretical research and substantiation of specialists compliance estimation with corporate requirements on the basis of international certification and determination of its role in the system of enterprise’ staff management are carried out in the article. The algorithm of the enterprise’ effect achievement of the preliminary international certification of the personnel involved in oil and gas wells drilling is offered. The relationship between the number of persons trained and certified by International Well Control Forum in Drilling Simulation Center of the Ivano-Frankivsk National Technical University of Oil and Gas and the volume of drilling of oil and gas wells in Ukraine is analyzed. The task was accomplished by means of correlation and regression analysis. The results of the calculations allow us to make sufficiently plausible assumptions about the impact of training and certification on drilling volumes. It is established that the increase in the number of persons certified according to International Well Control Forum for one person will allow to expect the volume of drilling of oil and gas wells by 0.734 thousand metres per year.

Źródło:

Management Systems in Production Engineering; 2020, 2 (28); 121-126
2299-0461

Pojawia się w:

Management Systems in Production Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 49.

Tytuł:

Statistical yielding models of some irrigated vegetable crops in dependence on water use and heat supply

Autorzy:

Vozhehova, Raisa
Kokovikhin, Sergii
Lykhovyd, Pavlo V.
Balashova, Halyna
Lavrynenko, Yuriy
Biliaieva, Iryna
Markovska, Olena

Powiązania:

https://bibliotekanauki.pl/articles/292829.pdf

Data publikacji:

2020

Wydawca:

Instytut Technologiczno-Przyrodniczy

Tematy:

linear model
multiple linear regression analysis
onion
potato
tomato
yield modelling

Opis:

Statistical analysis is helpful for better understanding of the processes which take place in agricultural ecosystems. Particular attention should be paid to the processes of crops’ productivity formation under the influence of natural and anthropogenic factors. The goal of our study was to provide new theoretical knowledge about the dependence of vegetable crops’ productivity on water supply and heat income. The study was conducted in the irrigated conditions of the semi-arid cold Steppe zone on the fields of the Institute of Irrigated Agriculture of NAAS, Kherson, Ukraine. We studied the historical data of productivity of three most common in the region vegetable crops: potato, tomato, onion. The crops were cultivated by using the generally accepted in the region agrotechnology. Historical yielding and meteorological data of the period 1990–2016 were used to develop the models of the vegetable crops’ productivity. We used two approaches: development of pair linear models in three categories (“yield – water use”, “yield – sum of the effective air temperatures above 10°C”); development of complex linear regression models taking into account such factors as total water use, and temperature regime during the crops’ vegetation. Pair linear models of the crops’ productivity showed that the highest effect on the yields of potato and onion has the water use index (R² of 0.9350 and 0.9689, respectively), and on the yield of tomato – temperature regime (R² of 0.9573). The results of pair analysis were proved by the multiple regression analysis that revealed the same tendencies in the crop yield formation depending on the studied factors.

Źródło:

Journal of Water and Land Development; 2020, 45; 190-197
1429-7426
2083-4535

Pojawia się w:

Journal of Water and Land Development

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 50.

Tytuł:

Determinants method of explanatory variables set selection to linear model

Autorzy:

Rzymowski, W.
Surowiec, A.

Powiązania:

https://bibliotekanauki.pl/articles/102317.pdf

Data publikacji:

2014

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

linear regression analysis
least square parameter estimation
relative error
Gram matrix

Opis:

The determinants method of explanatory variables set selection to the linear model is shown in this article. This method is very useful to find such a set of variables which satisfy small relative error of the linear model as well as small relative error of parameters estimation of this model. Knowledge of the values of the parameters of this model is not necessary. An example of the use of the determinants method for world’s population model is also shown in this article. This method was tested for 224 – 1 models for a set of 23 potential explanatory variables. 5 world’s population models with one, two, three, four and five explanatory variables were chosen and analysed.

Źródło:

Advances in Science and Technology. Research Journal; 2014, 8, 23; 80-87
2299-8624

Pojawia się w:

Advances in Science and Technology. Research Journal

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 51.

Tytuł:

The influence of food security on sustainable land management technologies of farming households in Kwara State, Nigeria

Autorzy:

Salau, Shehu Abdulganiyu

Powiązania:

https://bibliotekanauki.pl/articles/1892039.pdf

Data publikacji:

2020-11-08

Wydawca:

Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane

Tematy:

farming households
food security
regression analysis
SLM technologies and Shriar index

Opis:

Suboptimal land management practices (SLM) are degrading soils and undermining food security. Despite this, there is scant information regarding households’ decision towards the effect of food security on SLM technologies. This paper, therefore, measured food security status and assessed the effect of food security on SLM technologies. Structured interview schedule was used to gather data for this study. A three-stage sampling procedure was employed for this study. Two out of the four ADP zones were randomly selected in the first stage. This was followed by a proportionate selection of 30 villages from the two selected zones. Lastly, ten farming households each, were picked randomly from the chosen villages to make up a sample size of 300 farming households. The result revealed that the calculated MPCFE was ₦4218.587 and the proportion of food secure and food insecure households are 37.7% and 62.3% respectively. The findings affirmed that much opportunities exist for increasing productivity and income through increased adoption of SLM technologies among the food insecure households when compared with their food secure counterparts. The R2 value of 29.8% suggests that the explanatory variables explained about 30% of the variation in the explained variable. Furthermore, the factors influencing SLM technologies of households are food security status, family size, monthly income and plot size. This study provides useful insight into policies and actions taken by farmers and government to mitigate the effects of suboptimal use of SLM technologies for improved production and food security. Policies favoring increased plot size should be vigorously pursued.

Źródło:

Journal of Agribusiness and Rural Development; 2020, 57, 3; 309-315
1899-5241

Pojawia się w:

Journal of Agribusiness and Rural Development

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 52.

Tytuł:

Simulation tests of the method for determining a CAD model of free-form surface deterministic deviations

Autorzy:

Poniatowska, M.
Werner, A.

Powiązania:

https://bibliotekanauki.pl/articles/221700.pdf

Data publikacji:

2012

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

coordinate measurement
geometric deviation
free-form surface
regression analysis
CAD model

Opis:

Geometric deviations of free-form surfaces are attributed to many phenomena that occur during machining, both systematic (deterministic) and random in character. Measurements of free-form surfaces are performed with the use of numerically controlled CMMs on the basis of a CAD model, which results in obtaining coordinates of discrete measurement points. The spatial coordinates assigned at each measurement point include both a deterministic component and a random component at different proportions. The deterministic component of deviations is in fact the systematic component of processing errors, which is repetitive in nature. A CAD representation of deterministic geometric deviations might constitute the basis for completing a number of tasks connected with measurement and processing of free-form surfaces. The paper presents the results of testing a methodology of determining CAD models by estimating deterministic geometric deviations. The research was performed on simulated deviations superimposed on the CAD model of a nominal surface. Regression analysis, an iterative procedure, spatial statistics methods, and NURBS modelling were used for establishing the model.

Źródło:

Metrology and Measurement Systems; 2012, 19, 1; 151-158
0860-8229

Pojawia się w:

Metrology and Measurement Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 53.

Tytuł:

Use of the TVDA Method to Assessment of EN AC-AlSi9Mg Alloy Hardness Moulded in Metal Moulds

Autorzy:

Pezda, J.

Powiązania:

https://bibliotekanauki.pl/articles/381615.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

aluminum alloys
crystallization
hardness
regression analysis
stopy aluminium
krystalizacja
twardość
analiza regresji

Opis:

Mechanical properties of aluminum-silicon alloys are defined by condition of alloying components in the structure, i.e. plastic metallic matrix created from solid solution &alpha on the basis of Al, as well as hard and brittle precipitations of silicon. Size and distribution of silicon crystals are the main factors having effect on field of practical applications of such alloys. Registration of crystallization processes of the alloys on stage of their preparation is directly connected with practical implementation of crystallization theory to controlling technological processes, enabling obtainment of suitable structure of the material and determining its usage for specific requirements. An attempt to evaluate correlation between values of characteristic points laying on crystallization curves and recorded with use of developed by the author TVDA method (commonly denominated as ATND method) is presented in the paper together with assessment of hardness of tested alloy. Basing on characteristic points from the TVDA method, hardness of EN AC-AlSi9Mg alloy modified with strontium has been described in the paper in a significant way by the first order polynomial.

Źródło:

Archives of Foundry Engineering; 2019, 1; 25-28
1897-3310
2299-2944

Pojawia się w:

Archives of Foundry Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 54.

Tytuł:

Regresyjny model procesu klasyfikacji ziaren skrajnie drobnych
Regressive model of ultrafine particles classification process

Autorzy:

Tajchman, Z.

Powiązania:

https://bibliotekanauki.pl/articles/349928.pdf

Data publikacji:

2009

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

klasyfikacja przepływowa
fizykochemiczne parametry
analiza regresji
flowing classification
physicochemical parameters
regression analysis

Opis:

Po przeprowadzeniu oceny podstawowych wskaźników oceny procesu wywodzących się głównie z krzywej Trompa wybrano do dalszych badań te, które wydają się najbardziej odpowiednie do oceny przebiegu procesu. Do badań wybrano trzy materiały modelowe o składzie ziarnowym do 60 mikrometrów tj.: szkło kwarcowe, piasek kwarcowy, baryt, a także trzy zmienne parametry prowadzenia procesu klasyfikacji przepływowej: temperatura, koncentracja objętościowa zawiesiny, stężenie jonów wodorowych środowiska prowadzenia procesu. Opis stanu rozpoznania elementarnych zjawisk składających się na proces klasyfikacji jednoznacznie określa również stan budowy modeli tego procesu. Ich ogólną cechą jest podejście deterministyczne połączone z wprowadzeniem bardzo znacznych uproszczeń. Spowodowane to jest w głównej mierze brakiem możliwości pomiaru w trakcie prowadzenia procesu szeregu zjawisk elementarnych. Wprowadzone do wzorów stałe współczynniki i poprawki mają z reguły wartości wyznaczane doświadczalnie, które nie pozwalają jednak na jednoznaczną interpretację wszystkich zjawisk zachodzących w trakcie procesu klasyfikacji, Nie wyczerpuje to złożoności problemu, gdyż w opisie procesu należy uwzględnić oddziaływania o charakterze losowym. Losowość procesu powoduje bowiem znaczne trudności w określaniu związków pomiędzy poszczególnymi zjawiskami elementarnymi, a także w precyzyjnej identyfikacji pełnego zespołu czynników wpływających na przebieg i wyniki procesu.
The paper presents the issues relied to the description and the basic technological factors of flowing classification process, which main medium were suspensions of chosen model materials ultra fine particles. After conduction of basic process factors evaluation, which originated mainly from the Tromp curve, the ones seemed to be the most appropriate to evaluate the process were chosen for the further research. Three model materials were selected: quartz glass; quartzite; barite. Furthermore, three changeable parameters of flowing classification process conduction were chosen, which were: temperature; volumetric concentration of the suspension; concentration of hydrogen ions of process conduction environment. The results of chosen process parameters significant influence on elementary phenomena occurring during particles (of sized up to 60 mim) separation process were presented, as well the results of viscosity and suspension stability. The described state of elementary phenomena recognition being the part of classification process determines unequivocally the state of models construction of this process. Their general feature is deterministic approach joined with introduction of significant simplifications. This is caused mainly by lack of many elementary phenomena measuring possibilities during the process conduction. The constant coefficients introduced to the equation, which, however, do not allow the unequivocal interpretation of all of the phenomena occurring during the classification process. This do not solve the complexity of the problem because the random interactions should be considered in process description. The randomness of the process causes many difficulties in determination of correlations between individual elementary phenomena and also in precise identification of full group of factors influencing on course and results of the process. Only in recent years, the random interactions are introduced in various range to existed deterministic process models.

Źródło:

Górnictwo i Geoinżynieria; 2009, 33, 4; 299-308
1732-6702

Pojawia się w:

Górnictwo i Geoinżynieria

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 55.

Tytuł:

APPLICATION OF LOGISTIC REGRESSION IN THE SUBJECTIVE ASSESSMENT OF THE QUALITY OF LIFE OF POLES

Autorzy:

Kasprzyk, Beata
Wojnar, Beata

Powiązania:

https://bibliotekanauki.pl/articles/453375.pdf

Data publikacji:

2013

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki

Tematy:

logistic regression analysis households
value of quality of life
qualitative variable
probability

Opis:

The paper discusses the application of tools of multivariate analytical methods i.e., logistic regression, to model the subjective assessment of satisfaction/dissatisfaction with quality of life achieved. Based on empirical data from a random sampling of households in Podkarpacie province, the statistical significance of variables was estimated, which enabled the estimation of the value of life quality based entirely on qualitative variables, that are characteristic for a given household, with incomes being excluded. The essence of the regression is to seek such household related parameters, that could have varying degrees of impact on the occurrence of either negative or positive values. The models have been designed based on varied classification categories for households, thus allowing for both the quantitative analysis and comparison of the impacts of key cardinal determinants of values of life.

Źródło:

Metody Ilościowe w Badaniach Ekonomicznych; 2013, 14, 1; 212-221
2082-792X

Pojawia się w:

Metody Ilościowe w Badaniach Ekonomicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 56.

Tytuł:

An analysis of a multidimensional dataset of an epidemic study using soft computing tools - a pilot study

Autorzy:

Handri, S.
Nomura, S.
Irfan, A. C.M.
Fukuda, S.
Yamano, E.
Watanabe, Y.

Powiązania:

https://bibliotekanauki.pl/articles/333077.pdf

Data publikacji:

2009

Wydawca:

Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych

Tematy:

epidemiologia
analiza regresji logistycznej
epidemiology
logistic regression analysis
feature set selection
K-NN analysis

Opis:

Two contrasting approaches toward an epidemic study were illustrated as a pilot study; the regression analysis which is rather conventional methodology used in the past/present epidemic studies, and the other is the classifier analysis which is in the soft computing toolbox. The dataset we used for this study is obtained from a part of a cohort study which principally focused on a fatigue syndrome of the elementary and junior high school educates. In the classifier analysis we employed a major supervised machine-learning algorithm, K-Nearest Neighbour (K-NN), coupled with Principal Component Analysis (PCA). As a result, the performance that was found by cross validation method in the classifier analysis provides better results than that of the regression analysis. Finally we discussed the availability of both analyses with referring the technical and conceptual limitation of both approaches.

Źródło:

Journal of Medical Informatics & Technologies; 2009, 13; 107-110
1642-6037

Pojawia się w:

Journal of Medical Informatics & Technologies

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 57.

Tytuł:

Sweet Corn Yield Simulation Using Normalized Difference Vegetation Index and Leaf Area Index

Autorzy:

Lykhovyd, Pavlo

Powiązania:

https://bibliotekanauki.pl/articles/124254.pdf

Data publikacji:

2020

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

direct measurement
mathematical model
regression analysis
remote sensing
sweet corn
yield prediction

Opis:

The authors determined the accuracy and reliability of yielding models by using the values of two differently obtained indices – the leaf area index (LAI) obtained through direct surface measurements, and the normalized difference vegetation index (NDVI) obtained through spatial remote sensing of crops. The study based on the drip-irrigated sweet corn yielded the data obtained in the field experiment held in the semi-arid climate on darkchestnut soil in the South of Ukraine. The suitability of the LAI and NDVI for the simulation of sweet corn yields was estimated by the regression analysis of the yielding data by correlation (R) and determination (R²) coefficients. Additionally, mathematical models for the crop yields estimation based on the regression analysis were developed. It was determined that LAI is a more suitable index for the crop yield prediction: the R² value was 0.92 and 0.94 against 0.85 for the NDVI-based models.I It was determined that it is better to use the LAI values obtained at the stage of flowering, when R² averaged to 0.94, and the NDVI-based models does not depend on the crop stage (the R² was 0.85 both for the flowering and ripening stages of the plant development). The combined NDVI-LAI model showed that there is no necessity in the complication of the LAI-based model through introduction of the remotely sensed index because of insignificant improvement in the performance (R² was 0.94 and 0.92).

Źródło:

Journal of Ecological Engineering; 2020, 21, 3; 228-236
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 58.

Tytuł:

A spatial study on Keshan disease prevalence and selenoprotein P in the Heilongjiang Province, China

Autorzy:

Wang, Yanan
Zhang, Xiao
Wang, Tong
Hou, Jie
Guo, Zhongying
Han, Xiaomin
Zhou, Huihui
Liang, Hong
Xing, Zhifeng

Powiązania:

https://bibliotekanauki.pl/articles/2095499.pdf

Data publikacji:

2021-09-03

Wydawca:

Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi

Tematy:

prevalence
biomarker
prevention and control
endemic cardiomyopathy
selenoprotein P
spatial regression analysis

Opis:

ObjectivesFew spatial studies on Keshan disease (KD) prevalence and serum selenoprotein P (SELENOP) levels have been reported in the Heilongjiang Province, China. This study aimed to investigate the spatial relationships between KD prevalence, SELENOP levels, and the socio-economic status for the precise prevention and control of KD.Material and MethodsThe study was carried out in all the 66 KD endemic counties in the Heilongjiang Province using a non-probability sampling method of a key village survey based on county-wide case-searching. The participants completed a questionnaire and had their serum SELENOP levels measured using enzyme-linked immunosorbent assay. Thematic maps were created, and spatial regression analysis was performed by ordinary least squares using ArcGIS 9.0.ResultsOverall, 53 676 residents were surveyed based on case-searching, and blood samples were collected from 409 residents. In total, 50 chronic KD cases were identified with a total prevalence of 9.3/10 000 population. The prevalence in the Tangyuan County was the highest (250/10 000 population). The mean serum SELENOP level was 13.96 mg/l. The spatial regression analysis showed that KD prevalence positively correlated with SELENOP levels and negatively with per capita disposable income among rural residents.ConclusionsThe Tangyuan County should be considered for the precise prevention and control of KD. Further research is necessary to verify the reliability of SELENOP for estimating body selenium levels, and to better understand the relationship between selenium intake and KD in the investigated area.

Źródło:

International Journal of Occupational Medicine and Environmental Health; 2021, 34, 5; 659-666
1232-1087
1896-494X

Pojawia się w:

International Journal of Occupational Medicine and Environmental Health

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 59.

Tytuł:

Mapping of Cornfield Soil Salinity in Arid and Semi-Arid Regions

Autorzy:

Smanov, Zhassulan Maratuly
Laiskhanov, Shakhislam Uzakbaevich
Poshanov, Maksat Nurbaiuly
Abikbayev, Yerzhan Rakhimkeldievich
Duisekov, Saken Nurzhanuly
Tulegenov, Yerdaulet Askarbekovich

Powiązania:

https://bibliotekanauki.pl/articles/2202333.pdf

Data publikacji:

2023

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

soil salinization
satellite image
vegetation indice
regression analysis
mapping of soil salinity

Opis:

Soil salinization and their annual increase in volume is not only one of the main problems of arid and subarid regions, but it is becoming global. Studying the problem of salinization and its spatial distribution using operational remote sensing methods is very important for Kazakhstan, where almost half of the agricultural land is exposed to salinization, but it is at the initial stage of development in the use of space technologies of research. The main goal of this study is to conduct a field study of soil salinity in corn fields, one of the most common crops in the arid region of the country, located in the Shaulder irrigated massif, using space-based methods, and to create algorithms for compiling a salinity map based on remote sensing data. For this purpose, firstly, using Sentinel-2 images, the method of separating corn from other dominant crops in the region by creating NDVI dynamics covering all phases of growth of agricultural crops was shown. Then, a regression analysis was performed on soil and vegetation indices calculated using satellite images and data on soil salinity obtained through field studies. As a result of the analysis, the main predictor of deciphering salinized soils was determined. By dividing the predictive image into quartiles, contours of salinized soils were determined and a soil salinity map was created. With the help of the soil salinity map, it was found that, non-saline soils – 2912.2 ha; slightly saline soils – 3288.4 ha, moderately saline soils – 2615.2 ha, and strongly saline soils – 1284.3 ha in the study area.

Źródło:

Journal of Ecological Engineering; 2023, 24, 1; 146--158
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 60.

Tytuł:

Joint Regression Analysis applied to genotype stability evaluation over years
Zastosowanie analizy regresji łącznej do badania stabilności genotypów w doświadczeniach wieloletnich

Autorzy:

Oliveira, Amílcar
Oliveira, Teresa
Mejza, Stanisław
Mexia, João T.

Powiązania:

https://bibliotekanauki.pl/articles/41512366.pdf

Data publikacji:

2008

Wydawca:

Instytut Hodowli i Aklimatyzacji Roślin

Tematy:

analiza regresji łącznej
owies
stabilność genotypów
genotype stability
joint regression analysis
oat

Opis:

Most genotype differences connected with yield stability are due to genotype environment interaction. The presence and dimension of this interaction are the factors that determine the performance of genotypes in distinct environments. The environmental factors, like annual rainfall, temperature, diseases or soil fertility, can only explain part of this interaction. Many statistical tools have been developed with the aim to explain the information contained in the GE interaction data matrix. In our work we use the Joint Regression Analysis (JRA), the Zig-Zag Algorithm to estimate the regression coefficients and the multiple comparison tests of Scheffé, Tukey and Bonferroni. We point out not just the limitations of the JRA when used year by year, but also genotype selection advantage from general JRA over years. Data of the Portuguese Plant Breeding Board were used to carry the year and over years analyses of yielding stability of 22 different genotypes of oat (Avena sativa L.) at six different locations in the years 2002, 2003 and 2004.
Interakcja genotypowo-środowiskowa jest jednym z głównych źródeł różnic w plonowaniu odmian. Istnienie i zakres interakcji determinuje przydatność odmian w różnych środowiskach. Częściowo możemy ją wyjaśnić poprzez niektóre cechy charakteryzujące środowisko takie jak np.: roczna wielkość opadów, temperatura powietrza, częstość występowania chorób, żyzność gleby. W celu wyjaśnienia interakcji genotypowo-środowiskowej wykorzystujemy w pracy informację zawartą w dwuwymiarowej tabeli danych, stosując przy tym następujące metody statystyczne: analiza regresji łącznej, algorytm naprzemienny Zig-Zag, estymacja parametrów równań regresji oraz testy jednoczesne Scheffego, Tukeya i Bonferroniego. Ponadto dyskutujemy użyteczność metody regresji łącznej do selekcji odmian w doświadczeniach pojedynczych oraz w doświadczeniach wielokrotnych i wieloletnich. Rozważania teoretyczne ilustrujemy danymi pochodzącymi z Portugalskiej Sekcji Hodowli Roślin. Dane dotyczą badania stabilności plonu 22 genotypów owsa (Avena sativa L.) na podstawie doświadczeń przeprowadzonych w sześciu miejscowościach w latach 2002, 2003 i 2004.

Źródło:

Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin; 2008, 250; 225-235
0373-7837
2657-8913

Pojawia się w:

Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 61.

Tytuł:

Performance evaluation on selection of formwork systems in high rise buildings using regression analysis and their impacts on project success

Autorzy:

Rajeshkumar, Viswanathan
Sreevidya, V.

Powiązania:

https://bibliotekanauki.pl/articles/962264.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

deskowanie
system deskowania
analiza czynnikowa
korelacja
analiza regresji
formwork system
factor analysis
correlation
regression analysis

Opis:

The selection of the formwork system for high rise building affects the entire construction project duration and cost. The study reports the factors influencing the selection of different formwork system in the construction of high rise buildings through structural questionnaire survey from the client, contractor, consultant, and interviews with expert members. Total of 40 technical factors was identified from the literature and 220 filled questionnaires were received from the respondent. Relative Importance Index method is used to find the topmost factors affecting the selection of formwork system. Additionally, from factor analysis 22 factors were identified to have a correlation with one another. Regression analysis reveals that duration of the project, maintenance cost, adaptability, and safety have impact on formwork selection across time, cost and quality. These findings could potentially increase the construction company’s existing knowledge in relation to formwork selection.

Źródło:

Archives of Civil Engineering; 2019, 65, 2; 209-222
1230-2945

Pojawia się w:

Archives of Civil Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 62.

Tytuł:

Examining of portable batteries externalities with focus on consumption and disposal phases
Badanie efektów zewnętrznych akumulatorów przenośnych z uwzględnieniem etapów zużycia i utylizacji

Autorzy:

Shuptar-Poryvaieva, Natalia Yosipivna
Gubanova, Elena Rostislavovna
Andryeyeva, Natalia Mykolaivna
Shevchenko, Tetiana Ivanivna

Powiązania:

https://bibliotekanauki.pl/articles/1845295.pdf

Data publikacji:

2020

Wydawca:

Fundacja Ekonomistów Środowiska i Zasobów Naturalnych

Tematy:

externality
used battery
correlation analysis
regression analysis
efekt zewnętrzny
zużyta bateria
analiza korelacji
analiza regresji

Opis:

Today, the problem of increasing negative environmental externalities related to waste management, especially electronic waste, which also includes used household batteries and accumulators, is becoming increasingly acute. They cause significant damage not only to the environment but also to public health when released into the environment without control. The purpose of this work is to study the environmental and economic aspects and determine the external effects caused by the consequences of the consumption of autonomous batteries. Correlation-regression analysis showed that there is a link between indicators of domestic market filling of household batteries and the dynamics of mortality related to cancer. The study provides simplified calculations of external effects that arise in Ukraine because of the consumption of household batteries due to the absence of a system for their collection and disposal. The sum of the total external effects is determined, excluding losses due to air pollution, water pollution, and agricultural losses.
Obecnie coraz bardziej dotkliwy staje się problem negatywnych środowiskowych efektów zewnętrznych związanych z gospodarką odpadami, zwłaszcza elektroodpadami, które obejmują również zużyte baterie i akumulatory z gospodarstw domowych. W przypadku niekontrolowanego ich uwolnienia do środowiska, powodują znaczne szkody nie tylko dla środowiska, ale także dla zdrowia publicznego. Celem artykułu jest zbadanie środowiskowych oraz ekonomicznych aspektów, jak również określenie zewnętrznych skutków związanych z używaniem baterii. Analiza korelacji i regresji wykazała, że istnieje związek pomiędzy wskaźnikami wypełnienia rynku krajowego bateriami dla gospodarstw domowych a dynamiką umieralności związanej z rakiem. W opracowaniu przedstawiono uproszczone obliczenia skutków zewnętrznych, które pojawiają się na Ukrainie w wyniku zużycia baterii domowych z powodu braku systemu ich zbierania i utylizacji. Suma całkowitych skutków zewnętrznych jest określana z wyłączeniem strat spowodowanych zanieczyszczeniem powietrza, wody i strat w rolnictwie.

Źródło:

Ekonomia i Środowisko; 2020, 4; 24-37
0867-8898

Pojawia się w:

Ekonomia i Środowisko

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 63.

Tytuł:

Estymacja efektywności technicznej: Podejście kombinowane
Estimation of technical efficiency: a combined approach

Autorzy:

Błażejczyk-Majka, Lucyna
Kala, Radosław

Powiązania:

https://bibliotekanauki.pl/articles/452782.pdf

Data publikacji:

2011

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki

Tematy:

DEA
analiza regresji
COLS
MOLS
graniczna funkcja produkcji
regression analysis
frontier production function

Opis:

W pracy zaproponowano modyfikację metody łączącej podejście nieparametryczne z parametrycznym dla estymacji efektywności technicznej. W przeciwieństwie do oryginalnej metody kombinowanej oraz dwóch metod opartych wyłącznie na analizie regresji metoda proponowana wykorzystuje własność niezmienniczości charakteryzującą podejście nieparametryczne DEA realizowane przy założeniu maksymalizacji wyniku produkcyjnego i zmiennego zwrotu ze skali. Rozważania zilustrowano wykorzystując dane o produkcji rolniczej przeciętnych, w skali regionów Unii Europejskiej, gospodarstw prowadzących uprawy polowe. Uzyskane oceny efektywności potwierdzają, że metoda proponowana dostarcza ocen efektywności, które są najbardziej skorelowane z ocenami wyznaczanymi metodą nieparametryczną, a równocześnie są bardziej zróżnicowane, co przemawia na jej korzyść.
In the paper a modification of the method linking nonparametric and parametric approaches for estimation of the technical effectiveness, was presented. In contrast with the original combined method and with two methods based only on the regression analysis, the proposed method is exploiting the property of invariance which is characteristic for nonparametric DEA under assumption of output maximization and variable returns to scale. Investigations were illustrated using data, at the regional level, in reference to regions represented by field crop farms. The estimates of efficiencies obtained by the proposed method appear to be the most correlated with that following from DEA, and at the same time they are more diversified.

Źródło:

Metody Ilościowe w Badaniach Ekonomicznych; 2011, 12, 2; 80-90
2082-792X

Pojawia się w:

Metody Ilościowe w Badaniach Ekonomicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 64.

Tytuł:

Predicting length of fatigue cracks by means of machine learning algorithms in the small-data regime

Autorzy:

Badora, Maciej
Sepe, Marzia
Bielecki, Marcin
Graziano, Antonino
Szolc, Tomasz

Powiązania:

https://bibliotekanauki.pl/articles/2038115.pdf

Data publikacji:

2021

Wydawca:

Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN

Tematy:

empirical models
fatigue cracks
predictive maintenance
regression analysis
small data
statistical learning
turbomachinery

Opis:

In this paper several statistical learning algorithms are used to predict the maximal length of fatigue cracks based on a sample composed of 31 observations. The small-data regime is still a problem for many professionals, especially in the areas where failures occur rarely. The analyzed object is a high-pressure Nozzle of a heavy-duty gas turbine. Operating parameters of the engines are used for the regression analysis. The following algorithms are used in this work: multiple linear and polynomial regression, random forest, kernel-based methods, AdaBoost and extreme gradient boosting and artificial neural networks. A substantial part of the paper provides advice on the effective selection of features. The paper explains how to process the dataset in order to reduce uncertainty; thus, simplifying the analysis of the results. The proposed loss and cost functions are custom and promote solutions accurately predicting the longest cracks. The obtained results confirm that some of the algorithms can accurately predict maximal lengths of the fatigue cracks, even if the sample is small.

Źródło:

Eksploatacja i Niezawodność; 2021, 23, 3; 575-585
1507-2711

Pojawia się w:

Eksploatacja i Niezawodność

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 65.

Tytuł:

BADANIA ŹRÓDEŁ FINANSOWANIA DZIAŁALNOŚCI PRZEDSIĘBIORSTW – EFEKT SELEKCJI PUBLIKACJI. ANALIZA METAREGRESYJNA
Studies on financing sources of enterprises activities - publication selection bias. A meta-regression analysis

Autorzy:

Nehrebecka, Natalia
Dzik-Walczak, Aneta

Powiązania:

https://bibliotekanauki.pl/articles/950483.pdf

Data publikacji:

2015

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

financing sources
meta-regression analysis
publication selection bias
bank loan
trade credit
lease

Opis:

This article discusses the verification of the effect of publication in the studies regarding the sources of financing business operations. There is a probability that the results presented in literature may be encumbered by the problem of statistical significance selection. The works which show a weaker correlation or the lack of significance are less attractive and are seldom published – they are viewed as not providing enough contribution to science and not explaining the studied phenomena. In the publications regarding bank loans, the publication selection bias was found in the case of the structure of the assets and size of the company. In the case of the trade credit, the publication selection bias was pointed out in the case of indebtedness, profitability, size of the company, development potential and stock. In the studies of lease, the publication selection bias was confirmed in the case of indebtedness, profitability and size of the company.

Źródło:

Financial Sciences. Nauki o Finansach; 2015, 2(23); 41-70
2080-5993
2449-9811

Pojawia się w:

Financial Sciences. Nauki o Finansach

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 66.

Tytuł:

Comparison of information on sleep apnoea contained in two symmetric EEG recordings

Autorzy:

Prucnal, Monika A.
Polak, Adam G.

Powiązania:

https://bibliotekanauki.pl/articles/220736.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

sleep apnoea detection
EEG signal
discrete wavelet transforms
Hilbert transforms
analysis of variance
multivariate regression analysis

Opis:

Electroencephalogram (EEG) is one of biomedical signals measured during all-night polysomnography to diagnose sleep disorders, including sleep apnoea. Usually two central EEG channels (C3-A2 and C4-A1) are recorded, but typically only one of them are used. The purpose of this work was to compare discriminative features characterizing normal breathing, as well as obstructive and central sleep apneas derived from these central EEG channels. The same methodology of feature extraction and selection was applied separately for the both synchronous signals. The features were extracted by combined discrete wavelet and Hilbert transforms. Afterwards, the statistical indexes were calculated and the features were selected using the analysis of variance and multivariate regression. According to the obtained results, there is a partial difference in information contained in the EEG signals carried by C3-A2 and C4-A1 EEG channels, so data from the both channels should be preferably used together for automatic sleep apnoea detection and differentiation.

Źródło:

Metrology and Measurement Systems; 2019, 26, 2; 229-239
0860-8229

Pojawia się w:

Metrology and Measurement Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 67.

Tytuł:

THE IMPACT OF SOME VARIABLES ON THE VAT GAP IN THE MEMBER STATES OF THE EUROPEAN UNION COMPANY

Autorzy:

Majerová, Ingrid

Powiązania:

https://bibliotekanauki.pl/articles/489095.pdf

Data publikacji:

2016

Wydawca:

Instytut Badań Gospodarczych

Tematy:

tax gap
value added tax
Corruption Perception Index
GDP growth
VTTL model
regression analysis

Opis:

One of the most serious problems of fiscal character is the issue of the tax gap. The tax gap is defined as the amount of tax liability faced by taxpayers that is not paid on time. The tax gap comes from three main areas of non-compliance with the tax law – firstly, from underreporting of income, secondly, from underpayment of taxes, and thirdly, from non-filing of returns. The tax evasions in the area of value added tax create one of the largest groups of tax gaps. This article describes the current situation in the field of tax gap in selected countries of the European Union. The aim of this paper is to determine the dependence of the VAT gap on three variables: the Corruption Perception Index CPI, GDP growth rate and the basic VAT rate. The method of regression analysis was used, which was performed on data in the years 2000–2011. Although it could be assumed that tax burden will affect the VAT gap the most, the highest dependence was shown in the case of Corruption Perception Index.

Źródło:

Oeconomia Copernicana; 2016, 7, 3; 339-355
2083-1277

Pojawia się w:

Oeconomia Copernicana

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 68.

Tytuł:

Pewna procedura stosowania liniowej wielowymiarowej analizy regresji do słabo uwarunkowanych danych eksperymentalnych
A certain method of multivariate regression analysis application to poorly conditioned experimental data

Autorzy:

Kulisiewicz, M.
Piesiak, S.

Powiązania:

https://bibliotekanauki.pl/articles/131392.pdf

Data publikacji:

2016

Wydawca:

Uczelnia Jana Wyżykowskiego

Tematy:

analiza regresji
słabo uwarunkowane układy
zastosowanie inżynierskie
regression analysis
poorly conditioned systems
engineering applications

Opis:

W artykule przedstawiono pewien nowy sposób obliczeń parametrów modelu regresji. Polega on na odpowiednim sprowadzeniu regresji wielowymiarowej do regresji dwuwymiarowej poprzez wprowadzenie tzw. zmiennych zastępczych. Dzięki temu można łatwo wykryć wadliwe wyrazy, które mogą występować w macierzy obserwacji, a także bez trudu zweryfikować liniowość modelu regresyjnego. Jest to istotne zwłaszcza w przypadku tzw. układów słabo uwarunkowanych. Sposób ten i jego walory przedstawiono na licznych elementarnych przykładach numerycznych.
The article presents a new method of the regression model parameters calculation. The procedure consists in a suitable reduction of multivariate regression analysis to two-dimensional regression by means of creating so-called substitute variables. Due to that it is easy to detect defective elements which can exists in the observation matrix and linearity of regression model can be easily verified. This is especially essential in case of so-called poorly conditioned systems. The method and its advantages are presented in a lot of elementary numerical examples.

Źródło:

Zeszyty Naukowe Uczelni Jana Wyżykowskiego. Studia z Nauk Technicznych; 2016, 5; 27-47
2543-6740

Pojawia się w:

Zeszyty Naukowe Uczelni Jana Wyżykowskiego. Studia z Nauk Technicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 69.

Tytuł:

Approximation and Prediction of the Wind Speed Change Function

Autorzy:

Klen, K.
Zhuikov, V.

Powiązania:

https://bibliotekanauki.pl/articles/410602.pdf

Data publikacji:

2018

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

distributed generation
wind generator
Heisenberg’s uncertainty principle
linear approximation
Walsh functions
regression analysis

Opis:

In the article the features of energy summation from two wind generators, located at a certain distance from each other, are considered. The method of calculating the correlation function between the wind flow speed change functions in the direction of wind distribution is presented. The formulas for describing the fluctuation components of energy at the output of the wind generator are given for two cases: when the phases of the fluctuations of the wind flow on two wind generators are the same and when the fluctuations of the wind flow are in the antiphases. It is shown that to increase the energy level that can be taken from the wind power plant it is necessary to control the phase shift between the energy fluctuations at the output of the wind generators and use the energy of the storages; and to use linear approximations to approximate the wind speed change function. Under the condition of a linear change of the internal resistance of the wind generator in time, it is advisable to introduce the wind speed change function with linear approximations. The system of orthonormal linear functions based on Walsh functions is given. A table with formulas and graphs describing the first 8 functions, which are arranged in order of increasing the number of their sign alternating on the interval of functions definition, is presented. The result of the approximation of the wind speed change function with a system of 8 linear functions based on Walsh functions is shown. Decomposition coefficients, mean-square and average relative approximation errors for such approximation are calculated. In order to find the parameters of multiple linear regression the method of least squares is applied. The regression equation in matrix form is given. An example of application of linear regression prediction method to simple functions is shown. The restoration result for wind speed change function is shown. Decomposition coefficients, mean-square and average relative approximation errors for restoration of wind speed change function with linear regression method are calculated.

Źródło:

Present Problems of Power System Control; 2018, 9; 35-46
2084-2201

Pojawia się w:

Present Problems of Power System Control

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 70.

Tytuł:

Quantification of the credit risk of banks in Bosnia and Herzegovina regarding the individual members of the EU

Autorzy:

Alihodžić, Almir

Powiązania:

https://bibliotekanauki.pl/articles/949682.pdf

Data publikacji:

2017

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

return on average equity
regression analysis
the stability of the financial system
credit risk

Opis:

Credit risk is the most important risk among all other risks in the banking business, because almost over 80% of bank balance sheets relate to this segment of banking risk management. One of the biggest problems of commercial banks in Bosnia and Herzegovina are non-performing loans whose share in total loans has increased significantly since the onset of the global financial crisis. The main objective of the research is to determine which of the macroeconomic variables have the strongest impact on the increase of return on average equity and whether it is possible to reduce the credit risk of banks with adequate legislation as the main factor in the slowdown in credit expansion. The main goal will be to divide the impact of an independent variable, i.e. the share of liquid assets in total assets and whether its increase indirectly affects the return on equity and indirectly, the credit risk. The quantitative model used in this study will be the Merton model. Testing will be conducted through multiple regression analysis for the period 2008-2016 with the help of the software package STATA.

Źródło:

Financial Sciences. Nauki o Finansach; 2017, 4(33); 9-21
2080-5993
2449-9811

Pojawia się w:

Financial Sciences. Nauki o Finansach

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 71.

Tytuł:

Effect of substituents on 4-(substituted phenyl sulfonamide)benzoic acids by IR and NMR spectra

Autorzy:

Muthuvel, I.
Thirunarayanan, G.
Dineshkumar, S.

Powiązania:

https://bibliotekanauki.pl/articles/1059444.pdf

Data publikacji:

2019

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

4-(substituted phenyl sulfonamide) benzoic acids
Hammett correlations
IR and NMR spectra
Regression analysis

Opis:

About nine 4-(substituted phenyl sulfonamide) benzoic acid derivatives were synthesized by ultrasound irradiation method. The synthesized sulfonamides were characterized by their physical constants and spectroscopic data. The characteristic infrared SOsym, SOasym, NH and CO vibrations (ν, cm-1), the chemical shifts (δ, ppm) of NH and CO of sulfonamides were assigned and correlated with various Hammett substituent constants and Swain-Lupton parameters using single and multi-regression analysis. From the results of the statistical analysis, the effects of substituents on the spectral frequencies were discussed.

Źródło:

World Scientific News; 2019, 128, 2; 216-233
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 72.

Tytuł:

What drives the dependence between the Chinese and global stock markets?

Autorzy:

Qian, Lingling
Jiang, Yuexiang
Long, Huaigang

Powiązania:

https://bibliotekanauki.pl/articles/23942801.pdf

Data publikacji:

2023-08-08

Wydawca:

Fundacja Naukowa Instytut Współczesnych Finansów

Tematy:

dependence
determinants
time-varying copulas
panel regression analysis
economic policy uncertainty
global financial crisis

Opis:

By applying time-varying copulas and panel regression analysis, this study investigates the dependence between the Chinese and eleven international stock markets, as well as its determinants during the period 2002-2018. Our results indicate that the dependence magnitude between the Chinese stock market and major international markets varies with region. Furthermore, the dependence is negatively driven by both economic policy uncertainty differentials and interest rate differentials while positively affected by the global financial crisis and trade interdependence. Our findings are of great importance to international investors and policymakers.

Źródło:

Modern Finance; 2023, 1, 1; 12-16
2956-7742

Pojawia się w:

Modern Finance

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 73.

Tytuł:

Zastosowanie modeli logitowych do zdiagnozowania zagrożenia bankructwem przedsiębiorstw
The use of logistic models to diagnose the risk of bankruptcy in enterprises

Autorzy:

Lichota, W.

Powiązania:

https://bibliotekanauki.pl/articles/2082644.pdf

Data publikacji:

2020

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie

Tematy:

kondycja finansowa
modele wczesnego ostrzegania
analiza finansowa
logistic models
bankruptcy
risk assessment
regression analysis

Opis:

W artykule zostały zaprezentowane wybrane modele regresji logistycznej, które służą do analizy przedsiębiorstw w zakresie zagrożenia bankructwem jak i zmiany w sytuacji finansowej. Jak wynika z literatury z zakresu finansów do oceny kondycji finansowej przedsiębiorstwa należy zastosować odpowiednie metody. Błędna ocena może przynieść przykre konsekwencje dla przedsiębiorstwa, w postaci podjęcia nietrafionych decyzji przez zarządzających, odmowy udzielenia kredytu bankowego lub niepodjęcia współpracy przez dostawców i odbiorców. Celem artykułu była weryfikacja skuteczności predykcji 12 modeli regresji logistycznej, które pozwalają na dokonanie oceny zagrożenia bankructwem przedsiębiorstwa a także zajęcia stanowiska odnośnie przyszłej kondycji finansowej. Próba badawcza wynosiła 40 przedsiębiorstw, w tym 8 przedsiębiorstw, dla których został złożony wniosek o upadłość. Jak wynika z przeprowadzonych badań, poszczególne modele odznaczają się różną sprawnością ogólną, która wyniosła od 54% do 98%. Ponadto wykazano, że wraz ze wzrostem wskaźników analizy finansowej użytych w konstrukcji funkcji nie zwiększa się sprawność poszczególnych modeli. Autor podsumowuje, że w celu uniknięcia ryzyka przeprowadzenia niewiarygodnej oceny kondycji finansowej przedsiębiorstwa, należy zastosować co najmniej kilka modeli logitowych.
The article presents selected logistic regression models that are used to analyze enterprises in terms of their risk of bankruptcy and changes in their financial situation. As it appears from the literature on finance, it is necessary to apply appropriate methods to assess the financial condition of an enterprise. Incorrect assessment may cause unpleasant consequences for the company, in the form of taking wrong decisions by managers, refusal to be granted a bank loan or failure to undertake cooperation with suppliers and customers. The aim of the article was to verify the effectiveness of the prediction of 12 logistic regression models, that allow for the assessment of an enterprise’s bankruptcy risk and its future financial condition. The research sample was 40 companies, including 8 enterprises for which a bankruptcy petition had been filed. As results from the conducted research, individual models have different general efficiency, which ranged from 54% to 98%. In addition, it was seen that the efficiency of particular models does not increase with an increase of the financial analysis indicators used in the construction of the function. The author concludes that in order to avoid the risk of making an unreliable assessment of the financial condition of a company, at least 10 logistic models should be used.

Źródło:

Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Polityki Europejskie, Finanse i Marketing; 2020, 24[73]; 92-103
2081-3430

Pojawia się w:

Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Polityki Europejskie, Finanse i Marketing

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 74.

Tytuł:

Assessment of deformation properties of coal measure sandstones through regression analyses and artificial neural networks

Autorzy:

Köken, Ekin

Powiązania:

https://bibliotekanauki.pl/articles/2073875.pdf

Data publikacji:

2021

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

piaskowiec
sztuczna sieć neuronowa
deformacja
sandstone
Zonguldak
deformation properties
regression analysis
artificial neural network

Opis:

The deformation properties of rocks play a crucial role in handling most geomechanical problems. However, the determination of these properties in laboratory is costly and necessitates special equipment. Therefore, many attempts were made to estimate these properties using different techniques. In this study, various statistical and soft computing methods were employed to predict the tangential Young Modulus (Eti, GPa) and tangential Poisson’s Ratio (vti) of coal measure sandstones located in Zonguldak Hardcoal Basin (ZHB), NW Turkey. Predictive models were established based on various regression and artificial neural network (ANN) analyses, including physicomechanical, mineralogical, and textural properties of rocks. The analysis results showed that the mineralogical features such as the contents of quartz (Q, %) and lithic fragment (LF, %) and the textural features (i.e., average grain size, d50, and sorting coefficient, Sc) have remarkable impacts on deformation properties of the investigated sandstones. By comparison with these features, the mineralogical effects seem to be more effective in predicting the Eti and vti. The performance of the established models was assessed using several statistical indicators. The predicted results from the proposed models were compared to one another. It was concluded that the empirical models based on the ANN were found to be the most convenient tools for evaluating the deformational properties of the investigated sandstones.

Źródło:

Archives of Mining Sciences; 2021, 66, 4; 523--542
0860-7001

Pojawia się w:

Archives of Mining Sciences

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 75.

Tytuł:

Spectral correlations in some substituted styryl (E)-4-((2-oxopropyl) diazenyl) benzoic acids

Autorzy:

Sathiyendiran, V.
Sekar, K. G.
Thirunarayanan, G.
Arulkumaran, R.
Sundararajan, R.
Kamalakkannan, D.
Suresh, R.
Manikanadan, V.
Vijayakumar, R.
Vanangamudi, G.

Powiązania:

https://bibliotekanauki.pl/articles/412199.pdf

Data publikacji:

2014

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Oxo-propyl diazenyl benzoic acid chalcones
IR spectra
NMR spectra
Hammett equation
Regression analysis

Opis:

A series of titled compounds were prepared and analyzed their purities by literature method. The infrared and NMR spectral group frequencies of the compounds were assigned and correlated with Hammett substituent constants, F and R constants using single and multi linear regression analysis. From the results of statistical analysis, the effect of substituents on the above spectral frequencies was discussed.

Źródło:

International Letters of Chemistry, Physics and Astronomy; 2014, 11, 1; 33-43
2299-3843

Pojawia się w:

International Letters of Chemistry, Physics and Astronomy

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 76.

Tytuł:

Prediction of the Mechanical Properties of Chrome-Nickel Austenitic Stainless Steels with Respect to their Chemical Composition

Autorzy:

Záděra, A.
Maroš, B.
Blažík, P.
Čech, J.
Kaňa, V.

Powiązania:

https://bibliotekanauki.pl/articles/379648.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

austenitic steels
planned experiment
mechanical properties
regression analysis
stale austenityczne
eksperyment
właściwości mechaniczne
analiza regresji

Opis:

The research was concerned with the influence of chemical composition of austenitic steels on their mechanical properties. Resulting properties of castings from austenitic steels are significantly influenced by the solidification time that affects the size of the primary grain as well as the layout of elements within the dendrite and its parts with regard to the last solidification points in the interdendritic melt. During solidification an intensive segregation of all admixtures occurs in the melt, which causes a whole range of serious metallurgical defects and it has also a significant influence on subsequent precipitation of carbides and intermetallic phases. Chemical heterogeneity then affects the structure and mechanical properties of the casting. In a planned experiment, we cast melted steels containing 18 to 28 % Cr and 8 to 28 % Ni with variable carbon and nitrogen contents. Testing the tensile strength of the cast specimens we could determine the Rp0.2, Rm, and A5 values. The dependence of the mechanical properties on the chemical content was described by regression equations. The planned experiment results allow us to control the chemical content for the given austenitic steel quality to achieve the required values of the mechanical properties.

Źródło:

Archives of Foundry Engineering; 2018, 18, 1; 217-221
1897-3310
2299-2944

Pojawia się w:

Archives of Foundry Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 77.

Tytuł:

Modelling the impact of SME lending on business value added

Autorzy:

Ivashchenko, Alla
Polishchuk, Yevheniia
Dubyna, Maksym
Smerichevskyi, Serhii
Kornyliuk, Anna

Powiązania:

https://bibliotekanauki.pl/articles/24201259.pdf

Data publikacji:

2023

Wydawca:

Centrum Badań i Innowacji Pro-Akademia

Tematy:

SME
lending
value added
modelling
correlation-regression analysis
MŚP
wartość dodana
modelowanie
analiza korelacyjno-regresyjna

Opis:

The SME lending covers a list of its needs related to its day-to-day performance, fixed assets, development. Existing methods of identifying impact on economic indicators from using loans by SMEs are limited. The aim of the research is to develop a methodology which allows reveal the impact of SME lending on business value added on macroeconomic level. The methodology is based on correlation regression analysis in order to identify the level of loan influence on business development, value added in particular, due to the lack of adequate methods for SME development forecasting. The obtained results are sufficient for medium business and be used in forecasting medium business development in Ukraine. For small business model has insufficient density of the relationship between indicators, therefore, it was proposed to use additional factors as equity; liabilities and non-economic factors exemplified as the level of shadow economy.

Źródło:

Acta Innovations; 2023, 48; 5--21
2300-5599

Pojawia się w:

Acta Innovations

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 78.

Tytuł:

Empirical Study on the Currency Exchange Market. Determinants on the Exchange Rate of the U.S. Dollars and the Japanese Yen by the Regression Analysis.

Autorzy:

Komiya, Tokuichi

Powiązania:

https://bibliotekanauki.pl/articles/23594099.pdf

Data publikacji:

2024-01-02

Wydawca:

Academicus. International Scientific Journal publishing house

Tematy:

Yen/$ exchange rate
interest rate differential
consumer price index differential
moving average and regression analysis

Opis:

It is widely known that in the exchange rate market there are 3 factors influential to determine the currency exchange rate between the related countries in theory; i.e., the interest rate, inflation, and expectation on the exchange rate. This paper aims to find how the exchange rate between U.S. dollar and Japanese Yen, both of which are widely recognized as major currencies in the international financial market, are affected by the 4 key variables selected here in this paper related to these 3 factors under the recent inflationary economic environment; i.e., interest rate yield of the 2 year treasury bond, inflation rate, and the two moving average of the exchange rate to be considered as rational expectation on the movement of the exchange rate. As result it is our discovery that the selected predicator variables have been influential to the daily volatility and monthly movement of the exchange rate of the Japanese Yen /US $ with evidence the two different models of the regression analysis are able to show the exchange rate are significantly correlated with these 4 key variables and strongly affected by them. Also, during the period of total 30 months from the beginning of Y2021 through the middle of Y2023 this empirical analysis has been conducted, neither interest rate parity nor the purchasing power parity, both of which are the well-known theory of the international economy, did hold due to the reason value of U.S. $ have been kept stronger along with continuous increase in the interest rate yield in the U.S than that in Japan to cope with the faster inflation speed in the U.S economy.

Źródło:

Academicus International Scientific Journal; 2024, 15, 29; 207-239
2079-3715
2309-1088

Pojawia się w:

Academicus International Scientific Journal

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 79.

Tytuł:

Predicting buildings construction cost overruns on the basis of cost overruns structure

Autorzy:

Car-Pušić, Diana
Tijanić, Ksenija
Marović, Ivan
Mlađen, Marko

Powiązania:

https://bibliotekanauki.pl/articles/118675.pdf

Data publikacji:

2020

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie

Tematy:

cost overrun
quantities of works
unforeseen works
additional works
linear regression analysis
soft computing methods

Opis:

In construction practice, contractually agreed costs are often exceeded, which interferes with the sustainable realization of construction projects. The research described in this paper covers 24 new construction, renovation and reconstruction projects in the Republic of Croatia realized in the years 2006 to 2017, in order to analyse the occurrence of cost overruns more precisely with regard to the source of the overruns. It was found that additional work is the main source of cost overruns: firstly, additional work as a result of the client’s change orders and then unforeseen construction work as a result of unforeseen circumstances. As for the additional works, they are carried out at the client’s request and are not necessary for the safety and stability of the building. Using linear regression and “soft computing” methods, the possibility of modelling the relationship between contractually agreed and realized construction costs with satisfactory accuracy was tested. The model with the values of the natural logarithms of the variables, modelled according to the time–cost model of Bromilow, proved to be of the highest accuracy.

Źródło:

Scientific Review Engineering and Environmental Sciences; 2020, 29, 3; 366-376
1732-9353

Pojawia się w:

Scientific Review Engineering and Environmental Sciences

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 80.

Tytuł:

Measuring agility of indian automotive small & medium sized enterprises (SMEs)

Autorzy:

Tiwari, Rupesh Kumar
Tiwari, Jeetendra Kumar

Powiązania:

https://bibliotekanauki.pl/articles/407171.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

exploratory factor analysis
multiple regression analysis
fuzzy logic
fuzzy integrated index
FII
fuzzy performance index
FPII
fuzzy ranking

Opis:

Indian SMEs are going to play pivotal role in transforming Indian economy and achieving double digit growth rate in near future. Performance of Indian SMEs is vital in making India as a most preferred manufacturing destination worldwide under India’s “Make in India Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs must develop significant agile capability in order to remain competitive in highly uncertain global environment. One of the objectives of the research was to find various enablers of agility through literature survey. Thereafter questionnaire administered exploratory factor analysis was performed to extract various factors of agility relevant in Indian automotive SMEs environment. Multiple regression analysis was applied to assess the relative importance of these extracted factors. “Responsiveness” was the most important factor followed by “Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic bases algorithm was applied to assess the current level of agility of Indian automotive SMEs. It was found as “Slightly Agile”, which was the deviation from the targeted level of agility. Fuzzy ranking methodology facilitated the identification & criticalities of various barriers to agility, so that necessary measures can be taken to improve the current agility level of Indian automotive SMEs. The current research may helpful in finding; key enablers of agility, assessing the level of agility, and ranking of the various enablers of agility to point out the weak zone of agility so that subsequent corrective action may be taken in any industrial environment similar to India automotive SMEs.

Źródło:

Management and Production Engineering Review; 2019, 10, 1; 58-67
2080-8208
2082-1344

Pojawia się w:

Management and Production Engineering Review

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 81.

Tytuł:

Wykorzystanie analizy regresji do szacowania zawartosci zwiazkow mineralnych okreslanych jako zawartosc popiolu ogolnego w pszczelich miodach odmianowych

Autorzy:

Popek, S

Powiązania:

https://bibliotekanauki.pl/articles/827209.pdf

Data publikacji:

2000

Wydawca:

Polskie Towarzystwo Technologów Żywności

Tematy:

zwiazki mineralne
miod pszczeli
analiza regresji
analiza statystyczna
oznaczanie
mineral compound
bee honey
regression analysis
statistical analysis
determination

Opis:

Celem niniejszej pracy było opracowanie nowej metody szacowania zawartości związków mineralnych określanych jako zawartość popiołu ogólnego w wybranych pszczelich miodach odmianowych, w oparciu o wyznaczone modele regresji wielokrotnej. Analiza statystyczna uzyskanych wyników dowiodła, że zaproponowana metoda, oparta o modele regresji wielokrotnej, charakteryzuje się odpowiednią dokładnością i precyzją, co pozwala na zastosowanie jej w miejsce dotychczasowej metody oznaczania tego parametru, której podstawą jest mineralizacja próbki.
The aim of this work was to prepare the new method for total ash content measurement in bee honeys according to models of regression which was proposed. Statistic analysis of results improved that this methodology can be used in exchange to traditional method.

Źródło:

Żywność Nauka Technologia Jakość; 2000, 07, 4; 95-103
1425-6959

Pojawia się w:

Żywność Nauka Technologia Jakość

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 82.

Tytuł:

Region wielkopolski na ścieżce rozwoju społeczno-gospodarczego w latach 2000–2014
Wielkopolska region on the path of socio-economic development in 2000–2014

Autorzy:

Czyż, Teresa
Perdał, Robert

Powiązania:

https://bibliotekanauki.pl/articles/1023414.pdf

Data publikacji:

2017-07-26

Wydawca:

Uniwersytet im. Adama Mickiewicza w Poznaniu

Tematy:

Wielkopolska
economic development
human capital
regression analysis
województwo wielkopolskie
rozwój gospodarczy
kapitał ludzki
analiza regresji Wprowadzenie

Opis:

Artykuł zawiera opis diagnostyczny procesu rozwoju społeczno-gospodarczegoregionu wielkopolskiego w latach 2000–2014, tj. w okresie nowych uwarunkowańpolitycznych, społecznych i gospodarczych. Składa się z trzech części problemowych.W pierwszej części przedstawiono dynamikę gospodarki regionu wielkopolskiego, główne kierunki rozwoju i tempo ich zmian na tle kraju i innych polskich województw. Podjęto również próbę rozpoznania barier rozwojowych województwa wielkopolskiego. W drugiej części, przyjmując, że kapitał ludzki jest ważnym czynnikiem rozwoju regionalnego, poddano analizie aspekty demograficzno-społeczne kształtowania się tego kapitału w regionie wielkopolskim. W trzeciej części zbadano oddziaływanie kapitału ludzkiego na poziom rozwoju gospodarczego regionu wielkopolskiego i sformułowano model regresyjny oparty na szeregach czasowych.
This article offers a diagnostic description of the socio-economic development of the Wielkopolska region in the years 2000–2014. It consists of three parts. The first presents the dynamics of the Wielkopolska economy, chief directions of its development, and the rate of their changes as compared with the entire country and other voivodeships. Also barriers to the development of Wielkopolska are identified. In the second part, assuming that human capital is an important factor of regional development, an analysis is made of the socio-demographic aspects of this capital in the Wielkopolska region. In the third, the impact of human capital on the level of the region’s economic development is examined and a regression model is constructed on the basis of time series.

Źródło:

Rozwój Regionalny i Polityka Regionalna; 2016, 36; 9-26
2353-1428

Pojawia się w:

Rozwój Regionalny i Polityka Regionalna

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 83.

Tytuł:

Linear-wavelet networks

Autorzy:

Galvao, R. K. H.
Becerra, V. M.
Calado, J. M. F.
Silva, P. M.

Powiązania:

https://bibliotekanauki.pl/articles/907399.pdf

Data publikacji:

2004

Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Tematy:

sieć falkowa
model nieliniowy
analiza regresji
identyfikacja systemu
wavelet networks
nonlinear models
regression analysis
system identification

Opis:

This paper proposes a nonlinear regression structure comprising a wavelet network and a linear term. The introduction of the linear term is aimed at providing a more parsimonious interpolation in high-dimensional spaces when the modelling samples are sparse. A constructive procedure for building such structures, termed linear-wavelet networks, is described. For illustration, the proposed procedure is employed in the framework of dynamic system identification. In an example involving a simulated fermentation process, it is shown that a linear-wavelet network yields a smaller approximation error when compared with a wavelet network with the same number of regressors. The proposed technique is also applied to the identification of a pressure plant from experimental data. In this case, the results show that the introduction of wavelets considerably improves the prediction ability of a linear model. Standard errors on the estimated model coefficients are also calculated to assess the numerical conditioning of the identification process.

Źródło:

International Journal of Applied Mathematics and Computer Science; 2004, 14, 2; 221-232
1641-876X
2083-8492

Pojawia się w:

International Journal of Applied Mathematics and Computer Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 84.

Tytuł:

Prediction of Surface Roughness based on the Machining Conditions with the Effect of Machining Stability

Autorzy:

Lin, Yung-Chih
Chen, You-Chen
Wu, Kung-Da
Hung, Jui-Pin

Powiązania:

https://bibliotekanauki.pl/articles/102332.pdf

Data publikacji:

2020

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

machining conditions
machining stability
regression analysis
surface roughness
warunki obróbki
stabilność obróbki
analiza regresji
chropowatość powierzchni

Opis:

This study was aimed at analyzing the influence of the cutting parameters (spindle speed, feed rate and cutting depth) on the surface roughness of the machined parts with the influence of the machining stability of the cutter. In order to consider the chattering effect, the machining stabilities were calculated based on the measured tool tip frequency response functions. A series of machining tests were conducted on aluminum workpieces under different cutting parameters. Then, the surface roughness prediction models in the form of nonlinear quadratic and power-law functions were established based on the multivariable regression method, in which the input parameters, cutting depth and spindle speed, were respectively defined in the stable and unstable regions, according to the stability lobes diagram. The current results show that both models built with the cutting parameters defined in stable regions demonstrate higher prediction accuracy of the surface roughness, about 90%, when compared with the models defined in full regions with the accuracy of about 80%. In particular, the power-law model is proven to have 90% prediction accuracy when validated with the cutting parameters in a stable region. As a conclusion, the mathematical models based on the cutting parameters with well-defined machining stability were proven to show more accurate prediction ability of the surface roughness. It could be expected that the prediction model can further be applied to optimize the machining conditions in low speed roughing and high speed finishing process with desirable surface quality.

Źródło:

Advances in Science and Technology. Research Journal; 2020, 14, 2; 171-183
2299-8624

Pojawia się w:

Advances in Science and Technology. Research Journal

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 85.

Tytuł:

Estymacja kombinowana granicznej funkcji produkcji
The combined estimation of the frontier production function

Autorzy:

Błażejczyk-Majka, Lucyna
Kala, Radosław

Powiązania:

https://bibliotekanauki.pl/articles/453872.pdf

Data publikacji:

2010

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki

Tematy:

DEA
analiza regresji
graniczna funkcja produkcji
rolnictwo
Unia Europejska
regression analysis
frontier production function
agriculture
EU

Opis:

W pracy przedstawiono metodę kombinowaną estymacji granicznej funkcji produkcji, w której wykorzystywane jest zarówno standardowe podejście parametryczne oparte na analizie regresji jak i podejście nieparametryczne oparte na metodach programowania matematycznego. Metodę tę uzupełniono uwagami dodatkowymi precyzującymi jej praktyczną realizację. Działanie metody zilustrowano na przykładzie rolnictwa UE wykorzystując wyniki osiągane przez przeciętne gospodarstwa rolne reprezentujące poszczególne regiony. W pracy pokazano także różnice w efektywności produkcji rolniczej pomiędzy różnymi członkami UE.
In the study the combined method of estimation of the frontier production function has been presented. In that solution a standard parametric approaches based on regression analysis and non-parametric approaches connected with mathematical programming techniques were used. Additional remarks specifying the practical using of this method were also supplemented. Using of the method was illustrated on the example of agriculture of individual European Union regions. In that study differences in the effectiveness of agricultural production between various members of EU were also shown.

Źródło:

Metody Ilościowe w Badaniach Ekonomicznych; 2010, 11, 2; 71-80
2082-792X

Pojawia się w:

Metody Ilościowe w Badaniach Ekonomicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 86.

Tytuł:

Empirical formulas for calculating Continuous Cooling Transformation diagrams

Autorzy:

Trzaska, J.

Powiązania:

https://bibliotekanauki.pl/articles/366696.pdf

Data publikacji:

2019

Wydawca:

Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach

Tematy:

computational materials science
steel
regression analysis
CCT diagrams
obliczeniowa nauka o materiałach
stal
regresja
wykresy CTPc

Opis:

Purpose: The paper presents empirical formulas for the calculation of Continuous Cooling Transformation (CCT) diagram basing on the chemical composition and austenitizing temperature. Design/methodology/approach: In the method of calculating CCT diagrams proposed in the paper, two types of tasks are solved. First task is classification and consists in determining the range of cooling rate for particular phase transformations. The second task is regression, which aims at calculating the transformations temperature, hardness and volume fraction of phases in steel. The model of CCT diagrams was developed using multiple regression and logistic regression methods. Research limitations/implications: CCT diagrams can be calculated according to the presented method, if the chemical composition of steel meets the criteria defined by the application range of the model. Practical implications: The formulas presented in the article can be used to determine the conditions for heat treatment of structural steels. Originality/value: The paper presents the method for calculating CCT diagrams of the structural steels and engineering steels, depending on their chemical composition as well as austenitizing temperature.

Źródło:

Journal of Achievements in Materials and Manufacturing Engineering; 2019, 97, 1; 21-30
1734-8412

Pojawia się w:

Journal of Achievements in Materials and Manufacturing Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 87.

Tytuł:

Infrared and 13C NMR Spectral Correlation Analysis of Some Substituted Oxazepin Based Ketone and Thione Derivatives with Hammett Constant

Autorzy:

Sathiyamoorthi, K.
Kamalakkannan, D.
Suresh, R.
Sakthinathan, S. P.
Arulkumaran, R.
Sundararajan, R.
Thirunarayanan, G.

Powiązania:

https://bibliotekanauki.pl/articles/1193044.pdf

Data publikacji:

2016

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Oxazepins
IR
13C NMR
Hammett constant
F and R parameter
Single and multi-regression analysis

Opis:

Single and multi-regression analysis was applied for the corrosion study of transmission of substituent effects on IR carbonyl stretching frequencies and 13C chemical shifts of some substituted oxazepin compounds. The substituent effects were estimated on the basis of results of the statistical analysis. The differences among the obtained regression coefficients were discussed in terms of the relative importance of the field, inductive and resonance effects of substituent.

Źródło:

World Scientific News; 2016, 58; 48-64
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 88.

Tytuł:

Analiza regresji dla ilości i wartości transakcji kartami płatniczymi wydawanymi w Polsce
The regession analysis for the number and value of transactions with payment cards issued in Poland

Autorzy:

Pigłowski, Marcin

Powiązania:

https://bibliotekanauki.pl/articles/2165184.pdf

Data publikacji:

2013-12-15

Wydawca:

Ostrołęckie Towarzystwo Naukowe

Tematy:

karty płatnicze
analiza regresji
prognoza wartości transakcji
payments cards
regression analysis
prediction of the payments value

Opis:

W artykule we wprowadzeniu przedstawiono podział kart płatniczych ze względu na sposób rozliczania transakcji oraz cel artykułu, którym było zbadanie wpływu ilości transakcji kartami danego typu na wartość tych transakcji. Do zrealizowania tego celu zbudowano trzy modele regresji liniowej, wyznaczając następujące parametry: współczynnik regresji, wyraz wolny oraz odchylenie standardowe składnika resztowego, korzystając z danych opublikowanych przez Narodowy Bank Polski z ostatnich 15 lat (1998–2012). Na podstawie wyznaczonego współczynnika regresji oraz wyrazu wolnego zbudowano równania funkcji liniowych oraz oszacowano wartość transakcji kartami poszczególnych typów na koniec roku 2013, a także określono błąd standardowy prognozy. Średnia wartość transakcji oraz potencjał wzrostu wartości transakcji jest największy dla kart obciążeniowych, następnie debetowych i kredytowych. Jednak z drugiej strony, wzrost ilości i wartości transakcji kartami debetowymi jest stosunkowo szybki, a w przypadku kart kredytowych wolniejszy, a błąd prognozy nie przekracza lub tylko jest zbliżony do corocznego wzrostu. Natomiast w przypadku kart obciążeniowych następuje spadek, zarówno ilości, jak i wartości przeprowadzanych nimi transakcji, z błędem prognozy przekraczającym coroczny spadek.
In the introduction of the paper presents the classification of payment cards because of the way the settlement of transactions and the purpose of the article, which was to examine the influence of the number of card transactions on the value of these transactions. To achieve this purpose built three models of linear regression setting the following parameters: the regression coefficient, the intercept and the residual standard deviation, using data published by the National Bank of Poland on the last 15 years (1998-2012). Based on the regression coefficient and the intercept the equation linear functions built and estimated the value of each type of card transactions at the end of 2013, and also set the predicted standard error. The average value of transactions and the potential increase of the transactions value is the biggest for charge cards, then debit and credit cards. On the other hand, the increase in the number and value of debit card transactions is relatively fast, and in case of credit cards slower and predicted standard error does not exceed or is just close to the annual growth. However, in the case of charge cards decreases in both number and value of transactions made with these cards, with predicted standard error exceeded the annual decline.

Źródło:

Zeszyty Naukowe Ostrołęckiego Towarzystwa Naukowego; 2013, Zeszyt, XXVII; 429-441
0860-9608

Pojawia się w:

Zeszyty Naukowe Ostrołęckiego Towarzystwa Naukowego

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 89.

Tytuł:

Wyznaczenie cech społeczeństwa wpływających na zaangażowanie w tworzenie VGI w Polsce
Determination of socioeconomic features of a society influencing the involvement in VGI creation in Poland

Autorzy:

Marczak, S.

Powiązania:

https://bibliotekanauki.pl/articles/346891.pdf

Data publikacji:

2017

Wydawca:

Polskie Towarzystwo Informacji Przestrzennej

Tematy:

OpenStreetMap
społecznościowe dane przestrzenne
korelacja
regresja liniowa wieloraka
regresja ważona geograficznie
volunteered geographic information
correlation
linear regression analysis
geographically weighted regression

Opis:

W ostatnich latach tworzenie obywatelskich (społecznościowych) danych przestrzennych przez użytkowników Internetu, niebędących profesjonalistami w tym zakresie, jest coraz bardziej popularne. Świadczy o tym również rosnąca liczba inicjatyw opartych o dane zbierane na zasadzie crowdsourcingu (ang. crowd – tłum, ang. sourcing – czerpanie). Przyczynia się to do wzrostu świadomości społecznej dotyczącej danych geoprzestrzennych. Celem artykułu było zbadanie jakie cechy społeczeństwa wpływają na zaangażowanie obywateli w tworzenie VGI (ang. volunteered geographic information) w Polsce. Do jego realizacji wykorzystano dane z projektu OpenStreetMap oraz dane charakteryzujące społeczeństwo pozyskane z Głównego Urzędu Statystycznego. Były to między innymi: poziom wykształcenia, miesięczne wynagrodzenie, współczynnik feminizacji. Pierwszym etapem było określenie stopnia korelacji między danymi opisującymi społeczeństwo a danymi pozyskanymi w projekcie OpenStreetMap w podziale na powiaty. Następnie dla najbardziej skorelowanych zmiennych ułożono modele regresji wielorakiej i regresji ważonej geograficznie (GWR), co pozwoliło na wyznaczenie tych cech społeczeństwa, które miały istotny wpływ na pozyskiwanie VGI w Polsce.
In recent years, the creation of volunteered geographic information (VGI) by Internet users, who are not professionals in this area is becoming increasingly popular. There is also a growing number of initiatives based on the data collected on the basis of crowdsourcing. This contributes to increase of the public awareness of geospatial data. The aim of the paper was to examine what features of socjety affect the involvement of citizens in creating VGI in Poland. To achieve this objective, data from the OpenStreetMap project and society data obtained from the Central Statistical Office (this included level of education, monthly salary, the feminisation rate) were used. The first stage was to determine the degree of correlation between the data describing the society, and the OpenStreetMap data divided into districts. Then, for the most correlated variables multiple regression and geographically weighted regression (GWR) models were arranged, which allowed the determination of the characteristics of a society that had a significant effect on the acquisition of VGI in Poland.

Źródło:

Roczniki Geomatyki; 2017, 15, 2(77); 233-248
1731-5522
2449-8963

Pojawia się w:

Roczniki Geomatyki

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 90.

Tytuł:

Wpływ spalin transportu samochodowego na choroby wśród dzieci w systemie miejskim Lwowa

Autorzy:

Bey, Liliya

Powiązania:

https://bibliotekanauki.pl/articles/763156.pdf

Data publikacji:

2013

Wydawca:

Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej

Tematy:

health
morbidity
vehicle emissions
correlative and regression analysis
zdrowie
choroby
spaliny transportu samochodowego
analiza korelacyjna i regresyjna

Opis:

There is no abstract available for this language
W artykule określono aktualność tematyki oraz zaproponowano odpowiednią metodę badania. Scharakteryzowano rozpowszechnienie chorób wśród dzieci w mieście w latach 2000-2011, przeprowadzono analizę korelacyjną i regresyjną między spalinami transportu samochodowego a chorobami wśród dzieci w lwowskim urbosystemie.

Źródło:

Annales Universitatis Mariae Curie-Sklodowska, sectio B – Geographia, Geologia, Mineralogia et Petrographia; 2013, 68, 2
0137-1983

Pojawia się w:

Annales Universitatis Mariae Curie-Sklodowska, sectio B – Geographia, Geologia, Mineralogia et Petrographia

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 91.

Tytuł:

Construction and analysis of mathematical models of hydrodynamic forces and moment on the ships hull using multivariate regression analysis

Autorzy:

Kryvyi, O.
Miyusov, M. V.

Powiązania:

https://bibliotekanauki.pl/articles/2063993.pdf

Data publikacji:

2021

Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Tematy:

mathematical model
hydrodynamic forces
ship's hull
multivariate regression analysis
hydrodynamic moment
fisher's criteria
student's criteria
hydrodynamic characteristics

Opis:

To analyse the existing mathematical models of hydrodynamic forces and moment on the ship's hull and build new effective ones, an approach based on multivariate regression analysis is suggested. As factors (regressors), various dimensionless ratios of the geometric parameters of the vessel, such as length, breadth, draught, and block coefficient, were taken. When analysing existing mathematical models of hydrodynamic derivatives and building new ones, the value of the multiple correlation coefficient R and the value of standard errors were estimated. The significance of the models and the significance of all factors (regressors) included in the model were assessed using Fisher's and Student's criteria. As a result, new adequate mathematical models have been obtained for hydrodynamic constants with a high degree of correlation and an excellent level of significance of regressors.

Źródło:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 854--864
2083-6473
2083-6481

Pojawia się w:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 92.

Tytuł:

The Prediction of Surface Temperature in Drilling of Ti6Al4V
Przewidywanie temperatury powierzchni podczas wiercenia stopu Ti6Al4V

Autorzy:

Işik, B.
Kentli, A.

Powiązania:

https://bibliotekanauki.pl/articles/353425.pdf

Data publikacji:

2014

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

machining
Ti6Al4V
heat effect
drilling
regression analysis
obróbka
efekt cieplny
wiercenie
analiza regresji

Opis:

Titanium and its alloys are attractive materials due to their unique high strength-weight ratio that is maintained at elevated temperatures and their exceptional corrosion resistance. The major application of titanium has been in the aerospace industry. However, the focus shift of market trends from military to commercial and aerospace to industry also been reported. On the other hand, titanium and its alloys are notorious for their poor thermal properties and are classified as difficult-to-machine materials. These properties limit the use of these materials especially in the markets where cost is much more of a factor than in aerospace. Machining is an important manufacturing process because it is almost always involved if precision is required and is the most effective process for small volume production. Due to the low machinability of the alloys under study, selecting the machining conditions and parameters is crucial. The range of feeds and cutting speeds, which provide a satisfactory tool life, is very limited. On the other hand, adequate tool, coating, geometry and cutting flow materials should be used: otherwise, the high wear of the tool, and the possible tolerance errors, would introduce unacceptable flaws in parts that require a high degree of precision. In this study, heat changes of Ti6Al4V has been examined on the basis of cutting parameters such as depth of cut, feedrate and cutting speed during drilling. Heat changes of the material and tool was monitored by a thermal camera. Maximum temperatures of the experiments were taken to examine optimum cutting parameters. Obtained results have been used to generate a regression analysis and it is seen that regression has given accurate data.
Tytan i jego stopy to atrakcyjne materiały ze względu na ich unikalnie wysoki stosunek wytrzymałości do ciężaru właściwego, utrzymywany w podwyższonej temperaturze i ich wyjątkową odporność na korozję. Głównym zastosowaniem tytanu jest przemysł lotniczy. Jednak zmiana trendów na rynku z wojskowego na cywilny i z przemysłu lotniczego na inne gałęzie przemysłu jest również obserwowana. Z drugiej strony tytan i jego stopy są znane z ich słabych właściwości termicznych i są klasyfikowane jako materiały trudne w obróbce. Właściwości te ograniczają wykorzystywanie tych materiałów zwłaszcza na rynkach, na których koszt jest znacznie większym czynnikiem niż w przemyśle lotniczym. Obróbka mechaniczna jest ważnym procesem wytwarzania, ponieważ prawie zawsze ma miejsce, jeżeli wymagana jest precyzja i jest to najbardziej skuteczny sposób wytwarzania małych objętości. Ze względu na niską obrabialność stopów badanych, dobór warunków obróbki i parametrów jest krytyczny. Zakres posuwów i prędkości skrawania, które zapewniają zadowalającą trwałość narzędzia, jest bardzo ograniczony. Z drugiej strony, należy stosować odpowiedni materiał narzędzia, powłoki, geometrię, w przeciwnym razie wysokie zużycie narzędzia i ewentualne błędy tolerancji wprowadzą niedopuszczalne błędy w częściach które wymagają wysokiego stopnia precyzji. W pracy badano zmiany cieplne w stopach Ti6A14V wynikające z parametrów cięcia takich jak głębokość skrawania, posuw i prędkość skrawania podczas wiercenia. Zmiany cieplne materiału i narzędzia monitorowano za pomocą kamery termicznej. Maksymalne wartości temperatury eksperymentów zostały dobrane w celu zbadania optymalnych parametrów skrawania. Otrzymane wyniki wykorzystano do analizy regresji i jest widoczne, że regresja daje dokładne dane.

Źródło:

Archives of Metallurgy and Materials; 2014, 59, 2; 467-471
1733-3490

Pojawia się w:

Archives of Metallurgy and Materials

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 93.

Tytuł:

Green jobs in the European Union countries – an empirical study
Zielone miejsca pracy w krajach Unii Europejskiej – studium empiryczne

Autorzy:

Fura, Barbara
Fura, Marek

Powiązania:

https://bibliotekanauki.pl/articles/659714.pdf

Data publikacji:

2016

Wydawca:

Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego

Tematy:

zielone miejsca pracy
zielony wzrost
kraje UE
analiza regresji
green jobs
green growth
EU countries
regression analysis

Opis:

Artykuł przedstawia wyniki badań empirycznych w zakresie analizy liczby zielonych miejsc pracy w krajach Unii Europejskiej w zależności od wybranych wskaźników charakteryzujących kraje członkowskie. Do analizy wykorzystano model regresji liniowej. Za zmienną zależną przyjęto względną liczbę miejsc pracy w sektorze energetyki odnawialnej w 2012 r., tj. liczbę stanowisk w przeliczeniu na mln mieszkańców krajów. Zmienną objaśniającą w skonstruowanym modelu stanowił udział nakładów na B+R w PKB [%]. Przeprowadzone badania wykazały, że zwiększanie roli badań i rozwoju ma mierzalny wpływ na zmiany w zakresie dostępności zielonych miejsc pracy w krajach UE. Wyniki badań przedstawiono na tle założeń strategii „Europa 2020”.
The article presents research results on the analysis of green jobs in the European Union countries with respect to selected indicators characterizing the member states. For the empirical analysis a regression model was applied. As a dependent variable a number of jobs in the renewable energy sector in 2012 per million inhabitants of the countries was used. In the linear regression model the explanatory variable was a share of expenditure on R&D in GDP [%]. Studies show that the increase in research and development expenditures have a real, measurable impact on the availability of green jobs in the EU countries. Research results were presented on the background of the strategy “Europe 2020”.

Źródło:

Acta Universitatis Lodziensis. Folia Oeconomica; 2016, 2, 319
0208-6018
2353-7663

Pojawia się w:

Acta Universitatis Lodziensis. Folia Oeconomica

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 94.

Tytuł:

Searching for key sources of goodwill creation as new global managerial challenge
Poszukiwanie kluczowych źródeł kreowania wartości jako nowe globalne wyzwanie menedżerskie

Autorzy:

Kliestik, T.
Kovacova, M.
Podhorska, I.
Kliestikova, J.

Powiązania:

https://bibliotekanauki.pl/articles/406117.pdf

Data publikacji:

2018

Wydawca:

Politechnika Częstochowska

Tematy:

goodwill
residual income
regression analysis
valuation
goodwill creation
wartość
dochód rezydualny
analiza regresji
wycena
tworzenie wartości firmy

Opis:

Prestige, reputation, brand, image simply “enterprise goodwill” as an economic phenomenon has attracted attention of economic experts since the nineteenth century. Even though there are many various methodologies and approaches, its evaluation and quantification is still a challenge. Identification of key sources of goodwill creation and its management is the challenge for managers of enterprises. Which determinants are able to create enterprise goodwill - this question is the main aim in this study. This study identifies significant sources of the enterprise goodwill creation based on the residual income in the Slovak Republic. The data set of Slovak enterprises, which consists of 11483 financial statements of Slovak enterprises in 2016, was created for the research. As a main statistical method the multiple linear regression analysis is used. Based on the results we have identified return on equity, net income previous year, retained earning prior years, valuable rights, marketing costs and investments to the plant as key sources of enterprise goodwill creation. Additionally, we have created an econometric model, which could be used for evaluation of enterprise goodwill by companies’ management.
Prestiż, reputacja, marka, wizerunek, po prostu "wartość przedsiębiorstwa" jako zjawisko, przyciągają uwagę ekspertów od XIX wieku. Mimo że istnieje wiele różnych metodologii i podejść, jej ocena i kwantyfikacja nadal stanowią wyzwanie. Identyfikacja kluczowych źródeł powstawania wartości firmy i zarządzania nią jest wyzwaniem dla menedżerów przedsiębiorstw. Które determinanty są w stanie stworzyć wartość przedsiębiorstwa - to pytanie jest głównym celem niniejszego badania. W badaniu zidentyfikowano znaczące źródła tworzenia wartości firmy w oparciu o dochód rezydualny w Republice Słowackiej. Do badań stworzono zbiór danych, pochodzących ze słowackich przedsiębiorstw, który składa się z 11483 sprawozdań finansowych z 2016 r. Jako główną metodę statystyczną zastosowano analizę wielorakiej regresji liniowej. W oparciu o wyniki, jako kluczowe źródła tworzenia wartości firmy, zidentyfikowano zwrot z kapitału własnego, zysk netto z poprzedniego roku, zachowane zyski z lat ubiegłych, cenne prawa, koszty marketingowe oraz inwestycje w zakład. Dodatkowo stworzono model ekonometryczny, który można wykorzystać do oceny wartości firmy przez kierownictwo.

Źródło:

Polish Journal of Management Studies; 2018, 17, 1; 144-154
2081-7452

Pojawia się w:

Polish Journal of Management Studies

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 95.

Tytuł:

Czynniki rozwoju obszarów wzrostu i obszarów stagnacji gospodarczej w Polsce
Development factors of growth areas and areas of economic stagnation in Poland

Autorzy:

Perdał, Robert
Hauke, Jan

Powiązania:

https://bibliotekanauki.pl/articles/1023194.pdf

Data publikacji:

2014-03-20

Wydawca:

Uniwersytet im. Adama Mickiewicza w Poznaniu

Tematy:

growth areas
stagnation areas
development factors
canonical analysis
regression analysis
obszary wzrostu
obszary stagnacji
czynniki rozwoju
analiza kanoniczna
analiza regresji

Opis:

Zróżnicowanie poziomu rozwoju i jego polaryzacja są silnie akcentowanymi cechami procesu rozwoju społeczno-gospodarczego zarówno w klasycznych koncepcjach rozwoju (zwłaszcza rozwoju spolaryzowanego), jak i w ich współczesnych kontynuacjach. Prowadzi to do występowania w przestrzeni ekonomicznej obszarów wzrostu i obszarów stagnacji gospodarczej. Dlatego niezwykle istotne jest poszukiwanie odpowiedzi na pytania dotyczące przyczyn zróżnicowań układów przestrzennych oraz procesów polaryzacji. Głównym celem pracy jest identyfikacja i analiza istotnych czynników determinujących rozmieszczenie oraz rozwój obszarów wzrostu i obszarów stagnacji gospodarczej w ujęciu całościowym i częściowym rozwoju, w układzie wybranych aspektów tego procesu. Procedurę identyfikacji czynników rozwoju oparto na analizie korelacji kanonicznych (ujęcie całościowe) oraz modelowaniu regresyjnym (ujęcie częściowe). Postępowanie badawcze przeprowadzono zarówno w układzie wszystkich powiatów, jak i ich specyficznych podukładów, tj. obszarów wzrostu i obszarów stagnacji gospodarczej.
Differentiation of socio-economic development level and polarization thereof are strongly articulated features of this process included in the classical concepts of regional development theories (especially of polarized development) as well as their contemporary continuations. They lead to emergence of growth and stagnation areas in economic space. Therefore it is essential to seek for answers to questions concerning the causes of existing disparities in spatial systems and processes reinforcing the polarization. The main aim of this paper is to identify and analyze the important factors which determine the distribution and development of the growth and stagnation areas. It is carried out for selected aspects of the development process treated individually and for all aspects together considered a holistic approach to the development processes. The procedure for the identification of growth factors is based on canonical correlation analysis (holistic approach) and regression modeling (partialaspects). Research procedure was performed both for all poviats (NUTS 4), as well as in their specific subsystems being growth and stagnation areas.

Źródło:

Rozwój Regionalny i Polityka Regionalna; 2014, 25; 69-88
2353-1428

Pojawia się w:

Rozwój Regionalny i Polityka Regionalna

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 96.

Tytuł:

Determinants of the capital structure of TSL sector enterprises
Determinanty struktury kapitału przedsiębiorstw branży TSL (Transport, Spedycja, Logistyka)

Autorzy:

Jędrzejczak-Gas, J.

Powiązania:

https://bibliotekanauki.pl/articles/296387.pdf

Data publikacji:

2018

Wydawca:

Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania

Tematy:

capital structure
determinants of the capital structure
Correlation analysis
regression analysis
struktura kapitału
determinanty struktury kapitału
analiza korelacji
analiza regresji

Opis:

The capital structure has been of interest for researchers in the field of financial theory for over 60 years. However, literature surveys show that relatively few studies on the structure of capital and the factors shaping it can be applied to the TSL industry. The TSL (Transport, Spedition, Logistics) sector belongs to industries with a high development potential, both in the world and Poland. In order to meet the need for the diagnosis of the TSL industry in Poland, the research was undertaken to identify and examine the strength and direction of the impact of selected factors on the capital structure of enterprises in the TFL sector in Poland. The article consists of two parts. The first part explains the issues related to defining the concept of capital structure and includes identification of capital structure determinants based on the literature. The second part shows research methods, describes the sample, defines variables and presents results of the research. The enterprises listed on the NewConnect market were the subject of the research. It was to achieve the set goal that the correlation analysis and the linear regression method were used. Both correlation analysis and regression analysis have not confirmed the significance of all seven capital structure determinants. The correlation analysis has confirmed the significance of four determinants: asset structure, profitability, company size and financial liquidity. The regression analysis has also confirmed the statistical significance of the four determinants; these are: the structure of assets, size of the company, financial liquidity and the effective tax rate. The analysis of correlation shows that the level of indebtedness is positively correlated with the size of the enterprise and profitability, while negatively, with the structure of assets and financial liquidity. In turn, the regression analysis shows that the level of indebtedness is positively correlated only with one variable: the size of the enterprise, while negatively with the three variables: the structure of assets, financial liquidity and the effective tax rate.
Struktura kapitału jest przedmiotem zainteresowania badaczy z zakresu teorii finansów od ponad 60 lat. Studia literatury wskazują jednak, że stosunkowo niewiele badań dotyczących struktury kapitału i kształtujących ją czynników dotyczy przedsiębiorstw branży TSL. Branża TSL (Transport, Spedycja, Logistyka) należy do branż o wysokim potencjale rozwoju, zarówno w skali świata, jak i Polski. Wychodząc naprzeciw potrzebie diagnozy branży TSL w Polsce podjęto badania, których celem było zidentyfikowanie oraz zbadanie siły i kierunku wpływu wybranych czynników na strukturę kapitału przedsiębiorstw branży TSL w Polsce. Artykuł składa się z dwóch części. W pierwszej części, na podstawie literatury przedmiotu wyjaśniono zagadnienia związane z definiowaniem pojęcia struktura kapitału oraz dokonano identyfikacji determinant struktury kapitału. W drugiej części omówiono metody badawcze, scharakteryzowano próbę, określono zmienne oraz przedstawiono wyniki badań. Przedmiotem badań były przedsiębiorstwa notowane na rynku NewConnect. Do realizacji postawionego celu wykorzystano analizę korelacji oraz analizę regresji liniowej. Zarówno analiza korelacji, jak i analiza regresji nie potwierdziły istotności wszystkich siedmiu przyjętych w badaniu determinant struktury kapitału. Analiza korelacji potwierdziła istotność czerech determinant: struktury aktywów, rentowności, wielkości firmy, płynności finansowej. Analiza regresji potwierdziła również statystyczną istotność czterech determinant, przy czy są to: struktura aktywów, wielkość firmy, płynność finansowa oraz efektywna stopa podatkowa. Z analizy korelacji wynika bowiem, że z poziomem zadłużenia pozytywnie skorelowana jest wielkość przedsiębiorstwa oraz rentowność, natomiast negatywnie – struktura aktywów i płynność finansowa. Z kolei z analizy regresji wynika, że poziom zadłużenia pozytywnie skorelowana jest tylko jedna zmienna – wielkością przedsiębiorstwa, natomiast negatywnie trzy zmienne – struktura aktywów, płynnością finansową oraz efektywna stopa podatkowa.

Źródło:

Management; 2018, 22, 1; 176-193
1429-9321
2299-193X

Pojawia się w:

Management

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 97.

Tytuł:

Determinanty zadowolenia z życia Polaków z pokolenia X
Determinants of happiness among the Poles of Generation X

Autorzy:

Szubert, Tomasz

Powiązania:

https://bibliotekanauki.pl/articles/694005.pdf

Data publikacji:

2019

Wydawca:

Uniwersytet im. Adama Mickiewicza w Poznaniu

Tematy:

life satisfaction
quality of life
regression analysis
Generation X
zadowolenie z życia
jakość życia
analiza regresji
pokolenie X

Opis:

The research undertaken focused on a specific group: Poles aged 35 and over, thus representing so-called Generation X. The main objective of the study was to check which factors affect overall satisfaction with life, as well as how to what extent, which was measured as a weighted average of partial satisfaction indicators from 21 different spheres of life. The weights used to establish this general indicator were the declarations of respondents on how important every sphere is in their life, how much they want to be implemented in it. To achieve this goal, the results of a survey conducted in the first half of 2017 on a sample of 1,110 respondents from the Wielkopolska Voivodeship were used, and in determining what factors significantly determine a high or low level of satisfaction a multidimensional regression analysis was used. The results of the modeling process indicated 14 out of a potential 41 determinants of happiness, and the set of these factors includes the following characteristics of respondents: having children, the number of children, being financially independent, the value of property, place of residence, experiencing or not experiencing great failure in life, level of freedom/ liberty, level of safety, fitness level, self-assessment of health, number of sexual contacts, social prestige, level of extraversion and level of conscientiousness. In addition, it turned out that some of these factors positively affect the level of satisfaction, some negatively, and this influence is also manifested with varying intensity.
Podjęte badanie skupiało się na Polakach w wieku 35 lat i więcej, a więc reprezentujących tzw. pokolenie X. Głównym celem badania było sprawdzenie, które czynniki oraz w jakim kierunku i w jakim stopniu wpływają na ogólne zadowolenie z życia (mierzone jako średnia ważona cząstkowych wskaźników zadowolenia z 21 różnych sfer życia a wagami stosowanymi do ustalenia tego ogólnego wskaźnika). Podstawą badania były deklaracje respondentów, jak ważna w ich życiu jest dana sfera, jak bardzo chcą się w niej realizować. Do zrealizowania tego celu wykorzystano wyniki badania ankietowego przeprowadzonego w pierwszym półroczu 2017 na próbie 1110 respondentów z województwa wielkopolskiego, a w ustaleniu, jakie czynniki istotnie determinują wysoki lub niski poziom zadowolenia, posłużono się wielowymiarową analizą regresji. Wyniki modelowania wskazały na 14 spośród potencjalnych 41 determinant szczęścia, a w zestawie tych czynników znalazły się następujące cechy respondentów: posiadanie dzieci, liczba dzieci, bycie niezależnym finansowo, wartość majątku, miejsce zamieszkania, doznanie bądź nie wielkiej życiowej porażki, poziom wolności/ swobody, poziom bezpieczeństwa, poziom sprawności, samoocena stanu zdrowia, liczba kontaktów seksualnych, poziom prestiżu, poziom ekstrawersji oraz poziom sumienności. Ponadto okazało się, że niektóre z nich na poziom zadowolenia wpływają dodatnio, niektóre ujemnie, wpływ ten zaś ujawnia się też z różną intensywnością.

Źródło:

Ruch Prawniczy, Ekonomiczny i Socjologiczny; 2019, 81, 3; 235-249
0035-9629
2543-9170

Pojawia się w:

Ruch Prawniczy, Ekonomiczny i Socjologiczny

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 98.

Tytuł:

Parameter identification of the basset force acting on particles in fluid flow induced by the oscillating wall

Autorzy:

Pavlenko, Ivan
Liaposhchenko, Oleksandr
Pitel, Jan
Sklabinskyi, Vsevolod

Powiązania:

https://bibliotekanauki.pl/articles/123004.pdf

Data publikacji:

2019

Wydawca:

Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej

Tematy:

hydrodynamics
vibration impact
velocity field
complementary functions
regression analysis
infinite power series
analiza regresji
hydrodynamika
wibracje
przepływ dwufazowy

Opis:

The article is aimed at the development of the analytical approach for evaluating the parameters of the Basset force acting on a particle in two-dimensional fluid flow induced by the oscillating wall. By applying regression analysis, analytical expressions to determine complementary functions were established for evaluating the Basset force. The obtained dependencies were generalized using the infinite power series. As a result of studying the hydrodynamics of a two-phase flow, analytical dependencies to determine the Basset force were proposed for assessing its impact on particles of the dispersed phase in a plane channel with the oscillating wall. It was discovered that the Basset force affects larger particles. However, in the case of relatively large wavelengths, its averaged value for the vibration period is neglected. Additionally, the value of the Basset force was determined analytically for the case of relatively small wavelengths. Moreover, it was discovered that its impact can be increased by reducing the wavelength of the oscillating wall.

Źródło:

Journal of Applied Mathematics and Computational Mechanics; 2019, 18, 2; 53-63
2299-9965

Pojawia się w:

Journal of Applied Mathematics and Computational Mechanics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 99.

Tytuł:

Hydrochemical Indicators Dynamic in Surface Water

Autorzy:

Mitryasova, Olena
Cieśla, Maksymilian
Nosyk, Anastasia
Mats, Andrii

Powiązania:

https://bibliotekanauki.pl/articles/1955476.pdf

Data publikacji:

2021

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

surface water quality
water security
hydrochemical indicators
regression analysis
mathematical modeling
forecast of the environment state
Inhul river

Opis:

On the basis of the analysis of wide temporal monitoring data, a forecast of the integrated hydrochemical indicators of the waters of the Inhul river (Ukraine) was carried out. The performed analysis was also the basis for the determination of a mathematical model of natural fluctuations of the indicators studied. The determined sinusoidal dependence of the integrated water quality indicators allowed determining the average time of fluctuations concerning the processes of self-organisation of river waters. In practice, the developed mathematical models may constitute a valuable support and supplement to the existing models in the field of prediction of self-organization processes of river waters. They may also contribute to even more effective minimization of undesirable effects of anthropogenic impact on aquatic ecosystems.

Źródło:

Journal of Ecological Engineering; 2021, 22, 8; 111-122
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 100.

Tytuł:

Determination of the calcium sulfate hemihydrate content by regression analysis using the initial setting time

Autorzy:

Li, Bing

Powiązania:

https://bibliotekanauki.pl/articles/231074.pdf

Data publikacji:

2020

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

gips
modyfikacja
czas wiązania
analiza regresji
hemihydrat siarczanu wapnia
gypsum
modification
setting time
regression analysis
calcium sulfate hemihydrate

Opis:

In this paper, we randomly select 75 sets data of calcium sulfate hemihydrate (CSH) content and initial setting time, and the traditional test method of CSH and analyses initial setting time was used by complexometric titration. So the close relationship between them was studied in depth, which classification fitting data to be analyzed by regression analysis. The result shows that this regression analysis method can accurately determine CSH content in modified industrial by-product gypsum. The determination method has the advantages of simplification and rapid operation. As well as, the XRF quantitative analytical method was used to test the CSH content, which verified the accuracy of regression analysis method. The results also show that this method has high accuracy, and can simplify the traditional experimental process. The method developed is easier and more convenient and has broad prospects in application.

Źródło:

Archives of Civil Engineering; 2020, 66, 2; 421-437
1230-2945

Pojawia się w:

Archives of Civil Engineering

Dostawca treści:

Biblioteka Nauki

/5

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