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Wyświetlanie 1-15 z 68
Tytuł:
THE METHODS OF FORECASTING OF CHANGES OF MUNICIPAL WASTE PRODUCTION IN CASE OF CITIES
Autorzy:
Cheba, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/655807.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
forecasting
municipal waste
regression models
cities
Opis:
Waste management is currently one of the most important problems of the functioning of densely populated areas, important in the case of cities. The main problem of waste management is to break a simple correlation between economic growth and the increase in the amount of waste. Forecasting of amount of municipal waste generation on the basis of previously applied methods in the situation of large changes in socio-economic environment turns out to be inaccurate approach. In the literature a wide variety of geographically diverse factors are proposed for this purpose. This paper presents the results of modeling and forecasting of municipal waste generation changes in cities.  In this study, the impact of the various socio-economic factors for the municipal waste production was tested.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2014, 3, 302
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Variations on the Frisch and Waugh Theme
Autorzy:
Osiewalski, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/483315.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Bayesian inference
regression models
SURE models
VAR processes
data transformations
Opis:
The paper is devoted to discussing consequences of the so-called Frisch-Waugh Theorem to posterior inference and Bayesian model comparison. We adopt a generalised normal linear regression framework and weaken its assumptions in order to cover non-normal, jointly elliptical sampling distributions, autoregressive specifications, additional nuisance parameters and multi-equation SURE or VAR models. The main result is that inference based on the original full Bayesian model can be obtained using transformed data and reduced parameter spaces, provided the prior density for scale or precision parameters is appropriately modified.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2011, 3, 1; 39-47
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some remarks on permutation type tests in linear models
Autorzy:
Husková, Marie
Picek, Jan
Powiązania:
https://bibliotekanauki.pl/articles/729768.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
hypotheses testing
linear regression models
L₁- and L₂ - procedures
Opis:
The paper discusses applications of permutation arguments in testing problems in linear models. Particular attention will be paid to the application in L₁-test procedures. Theoretical results will beaccompanied by a simulation study.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2004, 24, 2; 151-181
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Statistical Approach To Prediction Of The CMM Drift Behaviour Using A Calibrated Mechanical Artefact
Autorzy:
Cuesta, E.
Alvarez, B.
Sanchez-Lasheras, F.
Gonzalez-Madruga, D.
Powiązania:
https://bibliotekanauki.pl/articles/221090.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multivariate regression models
coordinate measuring machine
drift behaviour
calibration
Opis:
This paper presents a multivariate regression predictive model of drift on the Coordinate Measuring Machine (CMM) behaviour. Evaluation tests on a CMM with a multi-step gauge were carried out following an extended version of an ISO evaluation procedure with a periodicity of at least once a week and during more than five months. This test procedure consists in measuring the gauge for several range volumes, spatial locations, distances and repetitions. The procedure, environment conditions and even the gauge have been kept invariables, so a massive measurement dataset was collected over time under high repeatability conditions. A multivariate regression analysis has revealed the main parameters that could affect the CMM behaviour, and then detected a trend on the CMM performance drift. A performance model that considers both the size of the measured dimension and the elapsed time since the last CMM calibration has been developed. This model can predict the CMM performance and measurement reliability over time and also can estimate an optimized period between calibrations for a specific measurement length or accuracy level.
Źródło:
Metrology and Measurement Systems; 2015, 22, 3; 417-428
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Switching regression models with non-normal errors
Modele regresji przełącznikowej ze składnikami losowymi o rozkładach rożnych od normalnego
Autorzy:
Pruska, Krystyna
Powiązania:
https://bibliotekanauki.pl/articles/904609.pdf
Data publikacji:
1997
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
switching regression models
maximum likelihood method
pseudo maximum likelihood method
Opis:
In this paper two forms of switching regression models with non-normal errors are considered. The pseudo maximum likelihood method is proposed for the estimation of their parameters. Monte Carlo experiments results are presented for a special switching regression model, too. In this research there are compared distributions of parameters estimators for different distributions of errors. The error distributions are as follows: normal, Student’s or Laplace’s. The maximum likelihood method (for the normal errors) is applied to the estimation. In most of the cases the estimators distributions do not differ significantly.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 1997, 141
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementing GIS and linear regression models to investigate partial building failures
Autorzy:
Merza, Alaa Nuri
Raheem, Aram Mohammed
Naser, Ibrahim Jalal
Ibrahim, Mohammed Omar
Omar, Najat Qader
Powiązania:
https://bibliotekanauki.pl/articles/36072623.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
GIS
IDW technique
crack identification
linear single
multi-regression models
Opis:
One of the most dangerous field problems in the civil engineering discipline is the suddenly developed cracks in the building, which could be caused by the swelling of the subsurface soil. Thus, this work has focused on employing a procedure in the geographic information system known as the inverse distance weighted (IDW) technique, to analyze the extent of cracks in a residential complex in the city of Kirkuk in Iraq using the physical and chemical soil data for seven boreholes from the field of the study. Physical soil parameters such as liquid limit (LL), gravel, sand, silt and clay percentages were characterized first, followed by chemical properties such as gypsum content (GYP), total suspended solids (TSS), potential of hydrogen (pH), and organic content (ORG). Furthermore, statistical studies such as plasticity index (PI) and soil characteristics association, linear single, and various linear multi-regression models were used. The data analysis shows that there are significantly positive and negative relationships between PI as a swelling indicator and the physical and chemical soil properties, although weak to moderate correlations were observed between PI and these variables. The PI values were accurately predicted by the proposed linear multi-regression models of the physical and integrated physical and chemical soil characteristics, with multiple R values of 0.92 for both models. As a result, the suggested statistical models can provide complete geographic and mechanical explanations for the crack sources in the investigated residential complex.
Źródło:
Scientific Review Engineering and Environmental Sciences; 2023, 32, 4; 338-356
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of operational cash flow in the estimation of accrual-based earnings management
Autorzy:
Comporek, Michał
Powiązania:
https://bibliotekanauki.pl/articles/947634.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
accrual-based earnings management
operational cash flow
net income
regression models
Opis:
One of the most important analytical spheres enabling the diagnostic estimation of intentional changes in a company’s financial result is the area of accrual adjustments of net profit, separated in the cash flow statement prepared using the indirect method. The special cognitive value of accrual differences can be seen when the structure of total accruals is separated by those adjustments that are not directly related to the real activity of the enterprise, and are the result of subjective accounting choices. The main objective of the article is to present the selected econometric models used for examining accrual-based earnings management phenomenon in Poland. The analysis includes following regression models, namely: the Jones model, the Kasznik model, the Dechow-Dichev model and the McNichols model. The empirical studies were conducted among listed companies qualified for the Warsaw Stock Exchange indices: WIG-20 and mWIG-40, whose shares were traded for at least ten years in 1998-2017.
Źródło:
Financial Sciences. Nauki o Finansach; 2019, 24, 2; 46-60
2080-5993
2449-9811
Pojawia się w:
Financial Sciences. Nauki o Finansach
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Evaluation of Some Machine Learning Algorithms as Tools for Predicting Soil Characteristics Based on Their Spectral Response in the Vis‑NIR Range
Autorzy:
Gruszczyński, Stanisław
Powiązania:
https://bibliotekanauki.pl/articles/1838007.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
machine learning
soil properties
near infrared spectral response
stacked regression models
Opis:
Using the Land Use and Coverage Frame Survey (LUCAS) database of European soil surface layer properties, statistical and machine learning predictive models for several key soil characteristics (clay content, pH in CaCl2 , concentration of organic carbon, calcium carbonates and nitrogen and exchange cations capacity) were compared on the basis of processing their spectral responses in the visible (Vis) and near infrared (NIR) parts. Standard methods of relationship modeling were used: stepwise regression, partial least squares regression and linear regression with input data obtained from principal components analysis. Using the inputs extracted by statistical algorithms various machine learning algorithms were used in the modeling. The usefulness of the models was analyzed by comparison with the values of the determination coefficients, the root mean square error and the distribution of residual values. The mean square error of estimation in the cross validation procedure for the stack mod el using the multilayer perceptron and the distributed random forest were as follows: for clay content – ca. 4.5%; for pH – ca. 0.35; for SOC – ca. 7.5 g/kg (0.75% by weight); for CaCO3 content – ca. 19 g/kg; for N content – ca. 0.50 g/kg; and for CEC – ca. 3.5 cmol(+)/kg.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 1; 63-95
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving Diesel Engine Reliability Using an Optimal Prognostic Model to Predict Diesel Engine Emissions and Performance Using Pure Diesel and Hydrogenated Vegetable Oil
Autorzy:
Žvirblis, Tadas
Hunicz, Jacek
Matijošius, Jonas
Rimkus, Alfredas
Kilikevičius, Artūras
Gęca, Michał
Powiązania:
https://bibliotekanauki.pl/articles/28328353.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
engine’s reliability
statistical regression analysis
linear regression models
ANCOVA
MAPE
hydrotreated vegetable oil
Opis:
The reliability of internal combustion engines becomes an important aspect when traditional fuels with biofuels. Therefore, the development of prognostic models becomes very important for evaluating and predicting the replacement of traditional fuels with biofuels in internal combustion engines. The models have been made to model AVL 5402 engine emission, vibration, and sound pressure parameters using a three-stage statistical regression models. The fifteen parameters might be accurately predicted by a single statistic presented here. Both fuel type (diesel fuel and HVO) and engine parameters that can be adjusted were considered, since this analysis followed the symmetry of the methods. The data analysis process included three distinct steps and symmetric statistical regression testing was performed. The algorithm examined the effectiveness of various engine settings. Finally, the optimal fixed engine parameter and the optimal statistic were used to construct an ANCOVA model. The ANCOVA model improved the accuracy of prediction for all fifteen missing parameters.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 174358
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
O interpretacji nieparametrycznych modeli regresyjnych
Parametric Interpretation of Non-Parametric Regression Models
Autorzy:
Stelmach, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/588048.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Metoda Monte Carlo
Modele regresji
Regresja nieparametryczna
Monte Carlo method
Nonparametric regression Regression models
Opis:
The advantage of the parametric regression models is the possibility of interpretation of the parameters of the regression model, i.e. to determine the direction and strength of the influence of predictors on the dependent variable. Unfortunately, in practice - the nonlinearity of the real processes, the influence of the phenomena with various probability distributions and a small number of observations limits the building of parametric models while the interpretation of non-parametric models is either impossible or very limited. Frequently such interpretation is useful in the specified range of variation. This may be a typical range of variation - for example, between the second and third quartiles, or a specific range due to the nature of the modeled phenomenon or process. It is difficult however, to build parametric models based only on the range of explanatory variables, because in this way we exclude observations giving additional knowledge into the model. The essence of this study is to enable the interpretation of non-parametric models through the creation of additional observations with these models in an interesting range of explanatory variables. These observations create secondary dataset used for the construction of a parametric model, which can now be interpreted. Presented investigations compare - using simulation - parametric models created for secondary sample with parametric models calculated for the original data.
Źródło:
Studia Ekonomiczne; 2014, 203; 154-162
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Społeczno-ekonomiczne uwarunkowania zachowań wyborczych w wyborach do Sejmu 2007 i 2011. Badanie oparte na danych zagregowanych
Socioeconomic determinants of voting behavior in 2007 and 2011 Sejm elections. Analysis of aggregated data
Autorzy:
Pierzgalski, Michał
Powiązania:
https://bibliotekanauki.pl/articles/1953257.pdf
Data publikacji:
2015-03-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
voting behavior in Poland
regression models
socio-economic determinants of voting behavior
Opis:
In the paper I show the results of my research on voting behavior in Polish parliamentary elections. My studies focus on the elections to the Sejm in 2007 and 2011. Employing regression models I try to verify the following hypotheses: H1: An increase in voting turnout, that is an important indicator of positive social capital, is positively correlated with the Civic Platform election result, while increasing the negative social capital determinants results in the decline in the Civic Platform support. H2: An increase in voting turnout is beneficial for the Civic Platform, while having negative impact on the political support given to the Law and Justice and the Polish People’s Party. H3: The higher the percentage of women in a county (powiat), the greater the average support for the Civic Platform. H4: When it comes to the determinants of political support for the selected parties, it turns out that, economic variables are statistically insignificant. To carry out my studies I use statistical data available from Central Statistical Office of Poland and from National Electoral Commission.
Źródło:
Athenaeum. Polskie Studia Politologiczne; 2015, 45; 7-31
1505-2192
Pojawia się w:
Athenaeum. Polskie Studia Politologiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model regresyjny wartości pojedynczej szkody uwzględniający polisy bezszkodowe
Regression Model of a Single Claim Value with No-Claims Policies
Autorzy:
Wolny-Dominiak, Alicja
Czernik, Tadeusz
Acedański, Jan
Powiązania:
https://bibliotekanauki.pl/articles/589693.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Działalność ubezpieczeniowa
Modele regresji
Polisy ubezpieczeniowe
Insurance activity
Insurance policy
Regression models
Opis:
Celem pracy jest zaproponowanie rozkładu prawdopodobieństwa, w którym dowolny rozkład dyspersyjnej rodziny rozkładów wykładniczych zostaje rozszerzony o wartości zerowe (ozn. ZA-rozkład). Rozkład ten wykorzystywany jest dalej do konstrukcji modelu regresyjnego mającego zastosowanie w prognozowaniu wartości pojedynczej szkody w masowym portfelu polis ubezpieczeniowych (np. komunikacyjne czy nieruchomości).
In the paper, we introduce probability distribution which augments any distribution from the exponential family with zero value (ZA-distribution). The new distribution is then employed in a regression model applied for forecasting value of a single claim in a large insurance portfolio (motor or property).
Źródło:
Studia Ekonomiczne; 2015, 242; 255-264
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przestrzenne zróżnicowanie urodzeń pozamałżeńskich w Polsce w latach 2002-2010
Spatial differentiation of non-marital births in Poland, 2002-2010
Autorzy:
Brzozowska, Zuzanna
Powiązania:
https://bibliotekanauki.pl/articles/418279.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
non-marital births
spatial diversity in non-marital childbearing
spatial regression models
Opis:
Since 1950s, the non-marital birth rate has been relatively high in the northern and western Poland, and relatively low in the south of the country. A remarkable increase in the percentage of non-marital births, observed after 1989 and especially in the recent decade did not change this spatial pattern. This article aims to quantify the spatial differentiation of the non-marital birth rate in recent years, between 2002 and 2010. It also attempts to verify three hypotheses, which try to explain the reasons behind the spatial pattern of non-marital childbearing from three different perspectives: the opportunity cost theory, the theory of anomie and historical trauma, and the theory of social influence. The analyses have been conducted on the NUTS-4 level (the Polish powiats) using the standard OLS regression models and the spatial autoregressive models: the spatial lag models and the spatial error models. The results of the multiple models suggest that the spatial pattern of non-marital childbearing can be attributed to social influence and historical trauma rather than to opportunity cost. However, the conclusions are tentative. The subject needs further studies.
Źródło:
Studia Demograficzne; 2011, 2(160); 59-84
0039-3134
Pojawia się w:
Studia Demograficzne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geometryczne własności regresji kwantylowej
Geometric properties of the quantile regression
Autorzy:
Trzpiot, Grażyna
Powiązania:
https://bibliotekanauki.pl/articles/586341.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Kwantyle
Regresja kwantylowa
Własności modeli regresji kwantylowych
Property of quantile regression models
Quantile regression
Quantiles
Opis:
Zastosowania miar porządkowych, w tym kwantyli, znajdujemy w różnych obszarach zastosowań, w szczególności w statystyce odpornej. Odejście od klasycznego podejścia bazującego na momentach zmiennej losowej wynika zazwyczaj z analizowanego zbioru danych, który nie spełnia założeń modeli. Dwa pierwsze momenty zmiennej losowej, na których budujemy dalej modele regresji, nie są adekwatne w opisie zbiorów danych z obserwacjami odstającymi. Zbiory danych z asymetrycznymi rozkładami również nie powinny być analizowane z wykorzystaniem modeli regresji estymowanych MNK. Celem artykułu jest prezentacja własności geometrycznych regresji kwantylowej. To podejście metodologiczne wykorzystuje wartości rozkładu, wyznaczając zbiór kwantyli oraz zbiór modeli regresji.
The use of ordinal measures, including quantles, is found in various areas of application, in particular robust statistics. The retreat from the classical approach based on the moments of random variables is usually the result of a data set that does not meet the assumptions of the models. The first two moments of the random variable, on which we are building the regression models, are not adequate in describing the sets of observation data sets. Data sets with asymmetric distributions should also not be analyzed using regression models estimated by MNK. The aim of this paper is to present the geometrical properties of quantile regression. This methodological approach uses the values of the distribution of the random variables by determining the set of quantiles and the set of regression models.
Źródło:
Studia Ekonomiczne; 2017, 344; 145-157
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wybrane statystyki odporne
Some Robust Statistical Methods
Autorzy:
Trzpiot, Grażyna
Powiązania:
https://bibliotekanauki.pl/articles/586408.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Estymatory
Metody statystyczne
Modele regresji
Statystyka
Estimators
Regression models
Statistical methods
Statistics
Opis:
Outliers are sample values that cause surprise in relation to the majority of the sample. This is not a pejorative term; outliers may be correct, but they should always be checked for transcription errors. Many robust and resistant methods have been developed since 1960 to be less sensitive to outliers. This methods can be used instead or be even better than classical one. Robust methods were used early in me works (Trzpiot 2009, 2011a, 2011b) as an application in finance and economy. This article has a descriptive character, connected with new book for students.
Źródło:
Studia Ekonomiczne; 2013, 152; 163-173
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 68

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