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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:
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:
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
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