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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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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
Artykuł
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