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

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Artykuł

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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

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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

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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

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