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Tytuł:
Algorithms for regression analysis.
Autorzy:
Bartkowiakowa, A.
Powiązania:
https://bibliotekanauki.pl/articles/748064.pdf
Data publikacji:
1976
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
62J05
Opis:
Artykuł nie zawiera streszczenia
This is a superficial review of basic problems in linear regression analysis. The discussion is numerically oriented; it covers estimation of regression coefficients, tests of various hypotheses about them, and selection of the best subset of explanatory variables. For a comprehensive study of the selection problem and other closely related topics, see the recent survey article by R. R. Hocking [Biometrics 32 (1976), no. 1, 1–49; MR0398008]. (MR0448720)
Źródło:
Mathematica Applicanda; 1976, 4, 7
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Management of financial risks in Slovak enterprises using regression analysis
Autorzy:
Valaskova, Katarina
Kliestik, Tomas
Kovacova, Maria
Powiązania:
https://bibliotekanauki.pl/articles/18799016.pdf
Data publikacji:
2018
Wydawca:
Instytut Badań Gospodarczych
Tematy:
financial risk
default
bankruptcy
regression model
Opis:
Research background: Financial risk management is the task of monitoring financial risks and managing their impact. Financial risk is often perceived as the risk that a company may default on its debt payments. The issue of the debt, default or prosperity of the company are presented in the article as one of the ways of the risk management. A prediction of corporate default is an inseparable element of the risk management. Mainly the consequences of risk are the engine of research and development of methods and models, which enable to predict economic and financial situation in specific conditions of global economies. Purpose of the article: The main aim of the presented article is to assess financial risks of Slovak entities, realized by the identification of significant factors and determinants affecting the prosperity of Slovak companies. Methods: To conduct the research we have used the data of Slovak enterprises, obtained from annual financial reports covering the year 2015 and the calculated financial ratios of profitability, activity, liquidity and indebtedness that may affect the financial health of the company were applied in the regression analysis. Realizing the multiple regression analysis, the statistically significant determinants that affect the future financial development of the company are identified, as well as the regression model of the bankruptcy prediction. Findings & Value added: In the research aimed at the management of financial risks in Slovak enterprises, we focused on the revelation of significant economic risk factors using multiple regression. The results suggest that the most significant predictors are net return on capital, cash ratio, quick ratio, current ratio, net working capital, RE/TA ratio, current debt ratio, financial debt ratio and current assets turnover based on which the decision about the future company default can be made. These factors are significant enough to manage financial risks and to affect the profitability and prosperity of the company.
Źródło:
Oeconomia Copernicana; 2018, 9, 1; 105-121
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Regression Analysis of Principal Dimensions and Speed of Aircraft Carriers
Autorzy:
Bi, J. Y.
Zong, Z.
Powiązania:
https://bibliotekanauki.pl/articles/260246.pdf
Data publikacji:
2014
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
aircraft carriers
speed
principal dimensions
regression
variance
Opis:
In this paper empirical formulas relating the speed to principal dimensions of aircraft carriers have been obtained through regression analysis of the data of 105 aircraft carriers. To reduce uncertainty as much as possible, aircraft carriers are classified into several different categories. In each category, regression analysis is separately performed such that a variety of regression (empirical) formulas have thus been obtained for possible use at the initial design stage of a carrier. The goodness of fit of these formulas is finally analyzed through variance analysis.
Źródło:
Polish Maritime Research; 2014, 1; 35-41
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Redescending M-estimators in regression analysis, cluster analysis and image analysis
Autorzy:
Müller, Christine
Powiązania:
https://bibliotekanauki.pl/articles/729806.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
redescending M-estimator
regression
breakdown point
optimality
cluster analysis
image analysis
kernel estimator
Opis:
We give a review on the properties and applications of M-estimators with redescending score function. For regression analysis, some of these redescending M-estimators can attain the maximum breakdown point which is possible in this setup. Moreover, some of them are the solutions of the problem of maximizing the efficiency under bounded influence function when the regression coefficient and the scale parameter are estimated simultaneously. Hence redescending M-estimators satisfy several outlier robustness properties. However, there is a problem in calculating the redescending M-estimators in regression. While in the location-scale case, for example, the Cauchy estimator has only one local extremum this is not the case in regression. In regression there are several local minima reflecting several substructures in the data. This is the reason that the redescending M-estimators can be used to detect substructures in data, i.e. they can be used in cluster analysis. If the starting point of the iteration to calculate the estimator is coming from the substructure then the closest minimum corresponds to this substructure. This property can be used to construct an edge and corner preserving smoother for noisy images so that there are applications in image analysis as well.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2004, 24, 1; 59-75
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
THE APPLICATION OF REGRESSION ANALYSIS IN TESTING UNCOVERED INTEREST RATE PARITY
Autorzy:
Kisielińska, Joanna
Czech, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/453467.pdf
Data publikacji:
2013
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
uncovered interest rate parity
exchange rate
linear regression model
Opis:
The aim of the paper is to evaluate and compare two linear regression models proposed by Froot and Frankel (1989) and to show their application in verification of the uncovered interest rate parity (UIP) hypothesis in the selected ten exchange rate markets. The paper shows that both models proposed by Froot and Frankel (1989) are formally equivalent, but they may give different regression results. Many researchers claim that uncovered interest rate parity tends to hold more frequently in emerging markets than in developed economies. The paper is focused on five developed and five emerging economies. It is partly confirmed that developing countries work better in terms of UIP.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2013, 14, 1; 232-242
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Regression Analysis under Heterogenous Observations
0 analizie regresji w warunkach niejednorodności obserwacji
Autorzy:
Nowak, Edward
Powiązania:
https://bibliotekanauki.pl/articles/906256.pdf
Data publikacji:
1992
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 1992, 123
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Informal Housing in Greece: A Multinomial Logistic Regression Analysis at the Regional Level
Autorzy:
POLYZOS, Serafeim
MINETOS, Dionysios
Powiązania:
https://bibliotekanauki.pl/articles/623885.pdf
Data publikacji:
2014-01-22
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
informal housing
land use changes
multinomial logistic regression
housing policy
Greece
Opis:
This paper deals with the primary causes of informal housing in Greece as well as the observed differentiations in informal housing patterns across space. The spatial level of analysis is the prefectural administrative level. The results of the multinomial logistic regression analysis indicate that Greek prefectures differ in the way they experience the informal housing phenomenon. An explanation for the observed differences may be the separate development paths followed and the diverse range of economic activities in each prefecture. The Greek state has not made provisions for creating the necessary ‘urban land stock’ in each prefecture, so that everyone interested can find land parcels at an affordable price. On the contrary, the state encourages the informal housing activity by legalizing large areas of such activity sporadically and by introducing legislative initiatives of limited success in dealing with the problem.
Źródło:
European Spatial Research and Policy; 2013, 20, 2
1231-1952
1896-1525
Pojawia się w:
European Spatial Research and Policy
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:
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
Artykuł
Tytuł:
The application of regression analysis for estimating the market value of commercial real estate
Autorzy:
Banaś, Marek
Czaja, Józef
Dąbrowski, Janusz
Powiązania:
https://bibliotekanauki.pl/articles/2055776.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
economic valuation
market analysis
commercial real estate
Opis:
The transaction price of a land property with commercial buildings depends on both its quantitative and qualitative attributes. Quantitative attributes include surface areas of plots of land and usable floor spaces of premises and buildings with various intended purposes, as well as values of rents. Qualitative attributes are represented by the global attributes of these properties. In the analysis of the land property market with commercial buildings, all pairs that relate a transaction price to individual attributes are considered. The market value prediction is based on multiple regression analysis for a two-dimensional random variable, represented by the price and the predetermined attribute. The final market value of the property being valued is calculated as the weighted average of the market values predicted for each attribute. This research paper presents the procedure for determining the market value of land with commercial buildings, which falls within the method of statistical analysis of the market. The derived formulas and substantively justified algorithms may be the basis for market analysis and estimation of the market value of such land. This procedure has been thoroughly verified using two practical numerical examples.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 1; 17--35
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wielokrotna testowa procedura krocząca w analizie regresji
The Multiple Stepwise Procedure in Regression Analysis
Autorzy:
Parys, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/906580.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
liniowy model regresji
testowanie wielokrotne
procedury kroczące
Opis:
The multiple procedure for stepwise regression analysis presented in this paper is based on traditional methods, such as F-lest and test of partial correlations. This procedure, having multiple testing character, keeps the multiple significance level at a predetermined value, at least approximately. This approach a way of dealing with, and reporting includes the dependencies among the explanatory variables, including their impact on the dependent one the procedure suggested in this paper does not introduce any new tests of call for any new distributions.
Procedura wielokrotna krocząca jest oparta na tradycyjnych testach z analizy regresji takich jak testy F oraz testy korelacji cząstkowej. Nowa procedura utrzymuje wielokrotny poziom istotności na poziomie wcześniej ustalonym. Procedura ta nie wymaga nowych rozkładów i tablic wartości krytycznych, a jednocześnie jako procedura wielokrotna w przypadku odrzucenia hipotezy zerowej pozwala na wykrycie zależności, które i w jakim stopniu ze zmiennych zależnych X są skorelowane ze zmienną zależną Y.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2002, 162
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive factors for preeclampsia in pregnant women: a unvariate and multivariate logistic regression analysis
Autorzy:
Direkvand-Moghadam, Ashraf
Khosravi, Afra
Sayehmiri, Kourosh
Powiązania:
https://bibliotekanauki.pl/articles/1039684.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
preeclampsia
risk factors
independent predictive factors
Opis:
Introduction: Several risk factors have been used to predict preeclampsia. The role of some risk factors as predictors associated with preeclampsia among Iranian women was analyzed in the present study using logistic regression. Materials and Methods: 610 women attending the obstetric ward of Mustafa hospital in Ilam were enrolled in this study. Demographic variables such as age, Body Mass Index (BMI), medical and obstetrics variables such as education, number of pregnancy, abortion and parity from May to September 2010 were analyzed. We used the unvaried and multiple logistic regression analyses to predict preeclampsia. Results: The history of preeclampsia, hypertension, and infertility showed to be good independent predicator variables for preeclampsia using multivariate logistic regression analysis (OR was 5.46, 2.34 and 3.07 respectively). Area Under the Receiver Operation Character (AUROC) was estimated to be 0.67 (95% CI 0.59-0.67, p<0.01) indicating the efficacy of the model for the prediction. Conclusion: The history of preeclampsia, hypertension and infertility predict preeclampsia with an increased odds ratio. Using such variables in regression analysis can help to diagnose preeclampsia beforehand and hence allow timely intervention.
Źródło:
Acta Biochimica Polonica; 2012, 59, 4; 673-677
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Uncertainty analysis of production in open pit mines – operational parameter regression analysis of mining machinery
Autorzy:
Lanke, A. A.
Ghodarati, B.
Hoseinie, S. H.
Powiązania:
https://bibliotekanauki.pl/articles/88986.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
mine production
availability
utilization
regression
Opis:
In mining uncertainties related to equipment and operation are major reasons for loss of production. In order to address this issue, a wide literature review was done in this study. It showed that reliability of equipment, spare part availability, automation of equipment are researched areas focused. However, a methodology which relates operational issues directly to production levels has been not studied with detailed analysis. In order to overcome this issue and propose, a method to achieve production assurance is the objective of this study. A case study with 2.5 years of data from a large open pit mine is carried out. Following the statistical principles, multiple regressions modelling with details analysis, optimization of payload and interpretation of analysis are used. It showed that at system level availability, utilization and maximum capacities are important criteria for finding root cause in loss of production. Model for shovel fleet showed that availability is the most important characteristics hindering it to achieve a higher level of production. It was also seen that 3 to 4 number of shovels are optimal for achieving current level of production. For truck fleet model represented that capacities involved are less important factor as compared to the utilization of the fleet.
Źródło:
Mining Science; 2016, 23; 147-160
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determination of the calcium sulfate hemihydrate content by regression analysis using the initial setting time
Autorzy:
Li, Bing
Powiązania:
https://bibliotekanauki.pl/articles/231074.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
gips
modyfikacja
czas wiązania
analiza regresji
hemihydrat siarczanu wapnia
gypsum
modification
setting time
regression analysis
calcium sulfate hemihydrate
Opis:
In this paper, we randomly select 75 sets data of calcium sulfate hemihydrate (CSH) content and initial setting time, and the traditional test method of CSH and analyses initial setting time was used by complexometric titration. So the close relationship between them was studied in depth, which classification fitting data to be analyzed by regression analysis. The result shows that this regression analysis method can accurately determine CSH content in modified industrial by-product gypsum. The determination method has the advantages of simplification and rapid operation. As well as, the XRF quantitative analytical method was used to test the CSH content, which verified the accuracy of regression analysis method. The results also show that this method has high accuracy, and can simplify the traditional experimental process. The method developed is easier and more convenient and has broad prospects in application.
Źródło:
Archives of Civil Engineering; 2020, 66, 2; 421-437
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Friction modeling of Al-Mg alloy sheets based on multiple regression analysis and neural networks
Autorzy:
Lemu, H. G.
Trzepieciński, T.
Kubit, A.
Fejkiel, R.
Powiązania:
https://bibliotekanauki.pl/articles/102791.pdf
Data publikacji:
2017
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
friction coefficient
friction
GRNN
neural networks
RBF network
sheet metal forming
Opis:
This article reports a proposed approach to a frictional resistance description in sheet metal forming processes that enables determination of the friction coefficient value under a wide range of friction conditions without performing time-consuming experiments. The motivation for this proposal is the fact that there exists a considerable amount of factors affect the friction coefficient value and as a result building analytical friction model for specified process conditions is practically impossible. In this proposed approach, a mathematical model of friction behaviour is created using multiple regression analysis and artificial neural networks. The regression analysis was performed using a subroutine in MATLAB programming code and STATISTICA Neural Networks was utilized to build an artificial neural networks model. The effect of different training strategies on the quality of neural networks was studied. As input variables for regression model and training of radial basis function networks, generalized regression neural networks and multilayer networks the results of strip drawing friction test were utilized. Four kinds of Al-Mg alloy sheets were used as a test material.
Źródło:
Advances in Science and Technology. Research Journal; 2017, 11, 1; 48-57
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Relationship between Mindful Attention Awareness and Cognitive Flexibility among Pre-Service Teachers: A Regression Analysis
Autorzy:
Kaur, Birender
Powiązania:
https://bibliotekanauki.pl/articles/29520779.pdf
Data publikacji:
2024-03-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
cognitive flexibility
mindful attention
awareness
pre-service teachers
Opis:
The main purpose of this study is to explore the predictive ability of mindful attention awareness towards cognitive flexibility among pre-service teachers. A descriptive survey approach was employed. The purposive sample method is employed to collect data from 100 pre-service teachers pursuing a Bachelor of Education from the public university of Kurukshetra. The Cognitive Flexibility Inventory by Denis and Vander (2010) and the Mindful Attention Awareness scale by Brown and Ryan were used for data collection. Statistical analysis indicated (i) mindful attention awareness is significantly and positively correlated with cognitive flexibility (ii) mindful attention awareness explains 30.6% of the cognitive flexibility among pre-service teachers. Education implications are further discussed.
Źródło:
The New Educational Review; 2024, 75; 217-227
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jak Polacy poszukują pracy? – analiza logitowa
How do the Polish People Seek Work? – Logistic Regression Analysis
Autorzy:
Kubiak, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/596437.pdf
Data publikacji:
2017
Wydawca:
Łódzkie Towarzystwo Naukowe
Tematy:
bezrobocie
poszukiwania pracy
metody poszukiwań pracy
unemployment
job search
job search methods
Opis:
Modele poszukiwań na rynku pracy traktują proces poszukiwania pracy jako inwestycję w zdobywanie informacji o możliwościach uzyskania zatrudnienia. Podejmowane działania wymagają ponoszenia określonych kosztów i nakładów w celu znalezienia najlepszych warunków zatrudnienia. W artykule podejmuję próbę identyfikacji czynników mających wpływ na prawdopodobieństwo znalezienia pracy przez osoby bezrobotne. Badanie przeprowadzam w oparciu o dane jednostkowe pochodzące z BAEL. Tworzę panel, w którym każda jednostka obserwowana jest w czterech momentach. Zabieg taki pozwala określić wpływ wybranych czynników na poszukiwania pracy oraz ustalić, jak zmienia się ich znaczenie wraz z wydłużaniem się okresu poszukiwań. Wyniki badań wskazują, że takie cechy respondentów, jak płeć, wiek, stan cywilny, wykształcenie, posiadane doświadczenie zawodowe aproksymowane stażem pracy i zawodem wykonywanym w przeszłości, miejsce zamieszkania oraz podejmowane działania w celu znalezienia zatrudnienia istotnie różnicują prawdopodobieństwo znalezienia pracy przez osoby bezrobotne, a siła ich oddziaływania zmienia się wraz z wydłużaniem się okresu poszukiwań.
The job search models treat the search process as the way to collect information about the job offers. The search process is time and resource consuming. The agents bear theses costs to find the most suitable job postings. In this study, I try to identify factors that determine the probability of the job offer encountering by the unemployed individuals. I use individual LFS data and create a panel in which each individual is observed 4 times. I analyse the impact of particular factor and test whether their importance is time varying. The results prove that sex, age, marital status, place of residence and applied search methods diversify likelihood of a job match. Moreover, the impact of particular factors changes long the unemployment duration.
Źródło:
Studia Prawno-Ekonomiczne; 2017, 103; 193-202
0081-6841
Pojawia się w:
Studia Prawno-Ekonomiczne
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:
Prognostic factors in acute mesenteric ischemia and evaluation with multiple logistic regression analysis effecting morbidity and mortality
Autorzy:
Ozturk, Safak
Unver, Mutlu
Ozdemir, Murat
Bozbıyık, Osman
Turk, Yigit
Firat, Ozgur
Calıskan, Cemil
Powiązania:
https://bibliotekanauki.pl/articles/1391520.pdf
Data publikacji:
2021
Wydawca:
Index Copernicus International
Tematy:
acidosis
colectomy
logistic models
mesenteric ischemia
shock
short bowel syndrome
small intestine
Opis:
Background: Acute mesenteric ischaemia (AMI) is a catastrophic abdominal emergency characterized by sudden critical interruption to the intestinal blood flow which commonly leads to bowel infarction and death. AMI still has a poor prognosis with an in-hospital mortality rate of 50-69 %. This high mortality rate is related to the delay in diagnosis which is often diffucult and overlooked. Early intervention is crucial and the potential for intestinal viability. Methods: The charts of 140 patients who were hospitalazed with AMI between May 1997 and August 2013 in Ege University Faculty of Medicine, department of general surgery were retrospectively reviewed. Demographical and clinical features of patients determining the best predictors which effect on morbidity and mortality were evaluated by Multiple Logistic Regression analysis by Enter method after adjustment for all possible confounding factors. Results: After Multiple LR analysis by Enter method after adjustment for all possible confounding factors affecting morbidity; shock, exploration and stay in hospital were statistically significant. Age, cardiac comorbidities, ASA scores, the time delay between onset of acute abdominal pain to surgery, the presence of acidosis and shock, the involved organs (small bowel and both), type of surgery and medical treatment and small bowel length under 100 cm were statistically significant on mortality. Conclusion: Risk factors related to mortality and morbidity have been poorly analyzed due to lack of prospective studies and smaller number of patients. Early diagnosis generally depends on clinical awareness and suspicion. Age and time of delay between onset of acute abdominal pain to surgery longer than 24 hours are the most important parameters that predict the mortality for patients presenting with shock and acidosis.
Źródło:
Polish Journal of Surgery; 2021, 93, 1; 25-33
0032-373X
2299-2847
Pojawia się w:
Polish Journal of Surgery
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Studies of the Kinetics for Rhodium Adsorption onto Gallic Acid Derived Polymer: the Application of Nonlinear Regression Analysis
Autorzy:
Can, M.
Powiązania:
https://bibliotekanauki.pl/articles/1193890.pdf
Data publikacji:
2015-04
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
82.30.Hk
Opis:
The kinetic behaviors of solute adsorption at solid/solution interfaces of rhodium (III) complexes from chloride solutions (1 M HCl) onto gallic acid formaldehyde resol polymer were studied by batch mode. Kinetics was analyzed by the pseudo first-order, the pseudo second-order, the Elovich and the intraparticle diffusion kinetic equations using nonlinear regression analysis. The rate constants of four models were calculated. The Non-linear Chi-square analysis and correlation coefficients have been calculated in order to assess which model provides the best fitting predicted data with experimental results. The pseudo second-order equation provides the best fit to experimental data. The first initial kinetics is governed by the rate of surface reaction. When the adsorbed amount reaches about 95% of the equilibrium coverage in the first sixty minutes, it switches to another kinetics governed by the rate of intraparticle diffusion. The proposed adsorption of the aquachlororhodium (III) species mostly takes place via a ligand exchange mechanism.
Źródło:
Acta Physica Polonica A; 2015, 127, 4; 1308-1310
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Construction and analysis of mathematical models of hydrodynamic forces and moment on the ships hull using multivariate regression analysis
Autorzy:
Kryvyi, O.
Miyusov, M. V.
Powiązania:
https://bibliotekanauki.pl/articles/2063993.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
mathematical model
hydrodynamic forces
ship's hull
multivariate regression analysis
hydrodynamic moment
fisher's criteria
student's criteria
hydrodynamic characteristics
Opis:
To analyse the existing mathematical models of hydrodynamic forces and moment on the ship's hull and build new effective ones, an approach based on multivariate regression analysis is suggested. As factors (regressors), various dimensionless ratios of the geometric parameters of the vessel, such as length, breadth, draught, and block coefficient, were taken. When analysing existing mathematical models of hydrodynamic derivatives and building new ones, the value of the multiple correlation coefficient R and the value of standard errors were estimated. The significance of the models and the significance of all factors (regressors) included in the model were assessed using Fisher's and Student's criteria. As a result, new adequate mathematical models have been obtained for hydrodynamic constants with a high degree of correlation and an excellent level of significance of regressors.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 854--864
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
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:
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:
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:
Performance evaluation on selection of formwork systems in high rise buildings using regression analysis and their impacts on project success
Autorzy:
Rajeshkumar, Viswanathan
Sreevidya, V.
Powiązania:
https://bibliotekanauki.pl/articles/962264.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
deskowanie
system deskowania
analiza czynnikowa
korelacja
analiza regresji
formwork system
factor analysis
correlation
regression analysis
Opis:
The selection of the formwork system for high rise building affects the entire construction project duration and cost. The study reports the factors influencing the selection of different formwork system in the construction of high rise buildings through structural questionnaire survey from the client, contractor, consultant, and interviews with expert members. Total of 40 technical factors was identified from the literature and 220 filled questionnaires were received from the respondent. Relative Importance Index method is used to find the topmost factors affecting the selection of formwork system. Additionally, from factor analysis 22 factors were identified to have a correlation with one another. Regression analysis reveals that duration of the project, maintenance cost, adaptability, and safety have impact on formwork selection across time, cost and quality. These findings could potentially increase the construction company’s existing knowledge in relation to formwork selection.
Źródło:
Archives of Civil Engineering; 2019, 65, 2; 209-222
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Testing the Significance of the Coefficients in the Multiple Regression Analysis
O testowaniu istotności współczynników w modelu regresji wielorakiej
Autorzy:
Kończak, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/906860.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
linear regression model
permutation test
Monte Carlo
Opis:
The multiple regression analysis is a statistical tool for the investigation relationships between the dependent and independent variables. There are some procedures for selecting a subset of given predictors. These procedures are widely available in statistical computer packages. The most often used are forward selection, backward selection and stepwise selection. In these procedures testing the significance of parameters is used. If some assumptions such as normality errors are not fulfilled, the results of testing significance of the parameters may not be trustworthy. The main goal of this paper is to present a permutation test for testing the significance of the coefficients in the regression analysis. Permutation tests can be used even if the normality assumption is not fulfilled. The properties of this test were analyzed in the Monte Carlo study.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 269
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
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:
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:
O jakości danych w kontekście obserwacji oddalonych w wielowymiarowej analizie regresji
On Selected Data Quality Issues in Multivariate Regression Analysis
Autorzy:
Trzęsiok, Michał
Powiązania:
https://bibliotekanauki.pl/articles/588674.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Ekonometria
Statystyka
Statystyka matematyczna
Wielowymiarowa analiza statystyczna
Econometrics
Mathematical statistics
Multi-dimensional statistical analysis
Statistics
Opis:
The paper presents different definitions of outliers. We also collate selected outlier detection techniques, which represent very different approaches to outliers identification: classical univariate method embodied in boxplots, Andrews' curves, methods based on Cook's distance and Mahalonobis' distance, local outlier factor method, support vector machines. Moreover we empirically examine the agreement between the results of outlier detection methods on the benchmarking, real world dataset.
Źródło:
Studia Ekonomiczne; 2014, 191; 75-88
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Does financial information transparency and objectivity matter for stock market development? A panel regression analysis for the selected European countries
Autorzy:
Lazarov, Darko
Lakovic, Tanja
Miteva-Kacarski, Emilija
Powiązania:
https://bibliotekanauki.pl/articles/582274.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
financial information
stock markets development
Generalized Method of Moments
European economies
Opis:
The paper investigates whether financial transparency and objectivity matter for stock market development. We test this hypothesis by using a sample of 38 selected European economies for the period 2006-2014 by applying dynamic panel regression analysis (Generalized Method of Moments). The strength of auditing and reporting standards (SARS) is used as the approximated variable for measuring the financial transparency and objectivity, while the stock market capitalization relative to GDP is a commonly used variable for stock market development. The estimated results indicate that financial information quality has a positive and significant impact on stock market development after controlling for the standard macroeconomic and financial specific stock market determinants, suggesting that financial reporting quality is one of the most important determinants of stock market development. The effects of financial reporting and auditing standards to stock market development are much more significant in the case of the non-EU countries.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2017, 482; 121-129
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
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:
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:
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:
Joint Regression Analysis applied to genotype stability evaluation over years
Zastosowanie analizy regresji łącznej do badania stabilności genotypów w doświadczeniach wieloletnich
Autorzy:
Oliveira, Amílcar
Oliveira, Teresa
Mejza, Stanisław
Mexia, João T.
Powiązania:
https://bibliotekanauki.pl/articles/41512366.pdf
Data publikacji:
2008
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
analiza regresji łącznej
owies
stabilność genotypów
genotype stability
joint regression analysis
oat
Opis:
Most genotype differences connected with yield stability are due to genotype environment interaction. The presence and dimension of this interaction are the factors that determine the performance of genotypes in distinct environments. The environmental factors, like annual rainfall, temperature, diseases or soil fertility, can only explain part of this interaction. Many statistical tools have been developed with the aim to explain the information contained in the GE interaction data matrix. In our work we use the Joint Regression Analysis (JRA), the Zig-Zag Algorithm to estimate the regression coefficients and the multiple comparison tests of Scheffé, Tukey and Bonferroni. We point out not just the limitations of the JRA when used year by year, but also genotype selection advantage from general JRA over years. Data of the Portuguese Plant Breeding Board were used to carry the year and over years analyses of yielding stability of 22 different genotypes of oat (Avena sativa L.) at six different locations in the years 2002, 2003 and 2004.
Interakcja genotypowo-środowiskowa jest jednym z głównych źródeł różnic w plonowaniu odmian. Istnienie i zakres interakcji determinuje przydatność odmian w różnych środowiskach. Częściowo możemy ją wyjaśnić poprzez niektóre cechy charakteryzujące środowisko takie jak np.: roczna wielkość opadów, temperatura powietrza, częstość występowania chorób, żyzność gleby. W celu wyjaśnienia interakcji genotypowo-środowiskowej wykorzystujemy w pracy informację zawartą w dwuwymiarowej tabeli danych, stosując przy tym następujące metody statystyczne: analiza regresji łącznej, algorytm naprzemienny Zig-Zag, estymacja parametrów równań regresji oraz testy jednoczesne Scheffego, Tukeya i Bonferroniego. Ponadto dyskutujemy użyteczność metody regresji łącznej do selekcji odmian w doświadczeniach pojedynczych oraz w doświadczeniach wielokrotnych i wieloletnich. Rozważania teoretyczne ilustrujemy danymi pochodzącymi z Portugalskiej Sekcji Hodowli Roślin. Dane dotyczą badania stabilności plonu 22 genotypów owsa (Avena sativa L.) na podstawie doświadczeń przeprowadzonych w sześciu miejscowościach w latach 2002, 2003 i 2004.
Źródło:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin; 2008, 250; 225-235
0373-7837
2657-8913
Pojawia się w:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin
Dostawca treści:
Biblioteka Nauki
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:
Determination of the lower calorific and ash values of the lignite coal by using artificial neural networks and multiple regression analysis
Autorzy:
Gulec, Mahmut
Gulbandilar, Eyyup
Powiązania:
https://bibliotekanauki.pl/articles/109973.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
lignite chemical analyses
artificial neural networks
Seyitomer lignite
Tuncbilek lignite
Opis:
The calorific value of coal varies depending on type of coal and foreign matter content. The calorific value of coal from pits is determined by analyzing moisture, volatile matter, ash and sulfur content in laboratories. This analysis process imposes a burden on businesses both in terms of time and cost. However, calorific value, in particular, can be determined through simpler methods by using ash and moisture values. The aim of this study was to develop a model that reduces the time and labor costs of coal companies by determining the calorific value and ash content of coal with the back-propagation algorithm of artificial neural networks (ANN). The model design was developed based on the data that was obtained from the laboratory analyses of raw coals from the pits of Tuncbilek and Seyitomer mining areas in Turkey. The values of moisture, volatile matter, original ash and sulfur were determined as input variables, and the lower calorific values and ash content were selected as output variables. The lower calorific values (LCV) and Ash estimated by the developed model were compared with the LCV obtained in the laboratory tests and the results showed a correlation. In addition, two different ANN models and multiple regression analysis (MRA) were developed to obtain the single output of the LCV and ash parameters with similar features. As a result, the ANN model and MRA equation models proposed in this study was shown to successfully estimate the LCV and ash content of coals without performing laboratory analyses.
Źródło:
Physicochemical Problems of Mineral Processing; 2019, 55, 2; 400-406
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study of the association between ISSR and RAPD markers and some agronomic traits in barley using a multiple regression analysis
Autorzy:
Cheghamirza, K.
Zarei, L.
Zebarjadi, A.R.
Honarmand, S.J.
Powiązania:
https://bibliotekanauki.pl/articles/80090.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Źródło:
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2017, 98, 1
0860-7796
Pojawia się w:
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
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:
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:
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:
On Regression Analysis in the Case of Heterogeneity of a Set of Objects
Uwagi o analizie regresji w przypadku niejednorodnego zbioru obiektów
Autorzy:
Jajuga, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/907000.pdf
Data publikacji:
1989
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
W artykule prezentuje się metodologie badań statystycznych w rozumieniu analizy regresji dla przypadku, gdy zbiór obiektów, będących przedmiotem badania, nie jest jednorodny. Proponuje się dwie metody pozwalające określić homogeniczne klasy o hiperelipsoidalnym kształcie. Wszystkie rozważania są ilustrowane czterema przykładami.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 1989, 90
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiple regression analysis model to predict and simulate winter rapeseed yield
Model analizy regresji wielorakiej dla prognozy i symulacji plonu rzepaku ozimego
Autorzy:
Niedbała, G.
Piekutowska, M.
Adamski, M.
Powiązania:
https://bibliotekanauki.pl/articles/336860.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
Forecast
multiple regression
MLR
winter rapeseed
yield prediction
prognoza
regresja wielokrotna
rzepak ozimy
prognoza plonu
Opis:
The aim of the work is to create a model for prediction and simulation of winter rapeseed yield. The model made it possible to perform a yield forecast on 30 June, directly before harvest in the current agrotechnical season. The prediction model was built using the multiple regression method (MLR). The model was based on meteorological data (air temperature and precipitation) and information about mineral fertilization. The data were collected from the years 2008-2017 from 291 production fields located in Poland, in the southern Opole region. The assessment of the quality of forecasts generated on the basis of the regression model was verified by determining prediction errors using RAE, RMS, MAE and MAPE error meters. An important feature of the created prediction model concerns the possibility of making the forecast in the current agrotechnical year on the basis of the current weather and fertilizer information.
Celem pracy było zbudowanie modelu do predykcji i symulacji plonu rzepaku ozimego. Model ten umożliwił wykonanie prognozy plonu na dzień 30 czerwca, bezpośrednio przed zbiorem w aktualnie trwającym sezonie agrotechnicznym. Do budowy modelu predykcyjnego użyto metody regresji wielorakiej (MLR). Model powstał w oparciu o dane meteorologiczne (temperatura powietrza i opady atmosferyczne) oraz informacje o nawożeniu mineralnym. Dane zostały zebrane z lat 2008- 2017 z 291 pól produkcyjnych zlokalizowanych w Polsce, na obszarze południowej Opolszczyzny. Ocena jakości prognoz wytworzonych na bazie modelu regresyjnego została zweryfikowana poprzez określenie błędów prognozy za pomocą mierników błędów RAE, RMS, MAE oraz MAPE. Ważną cechą wytworzonego modelu predykcyjnego jest możliwość wykonania prognozy w bieżącym roku agrotechnicznym w oparciu o aktualne informacje pogodowe i nawozowe.
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2018, 63, 4; 139-144
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
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:
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:
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:
BADANIA ŹRÓDEŁ FINANSOWANIA DZIAŁALNOŚCI PRZEDSIĘBIORSTW – EFEKT SELEKCJI PUBLIKACJI. ANALIZA METAREGRESYJNA
Studies on financing sources of enterprises activities - publication selection bias. A meta-regression analysis
Autorzy:
Nehrebecka, Natalia
Dzik-Walczak, Aneta
Powiązania:
https://bibliotekanauki.pl/articles/950483.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
financing sources
meta-regression analysis
publication selection bias
bank loan
trade credit
lease
Opis:
This article discusses the verification of the effect of publication in the studies regarding the sources of financing business operations. There is a probability that the results presented in literature may be encumbered by the problem of statistical significance selection. The works which show a weaker correlation or the lack of significance are less attractive and are seldom published – they are viewed as not providing enough contribution to science and not explaining the studied phenomena. In the publications regarding bank loans, the publication selection bias was found in the case of the structure of the assets and size of the company. In the case of the trade credit, the publication selection bias was pointed out in the case of indebtedness, profitability, size of the company, development potential and stock. In the studies of lease, the publication selection bias was confirmed in the case of indebtedness, profitability and size of the company.
Źródło:
Financial Sciences. Nauki o Finansach; 2015, 2(23); 41-70
2080-5993
2449-9811
Pojawia się w:
Financial Sciences. Nauki o Finansach
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
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