Temat: Regression models - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: THE METHODS OF FORECASTING OF CHANGES OF MUNICIPAL WASTE PRODUCTION IN CASE OF CITIES
Autorzy:: Cheba, Katarzyna
Tematy:: forecasting
municipal waste
regression models
cities; Pokaż więcej
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Powiązania:: https://bibliotekanauki.pl/articles/655807.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

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.
Tematy:: multivariate regression models
coordinate measuring machine
drift behaviour
calibration; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/221090.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 3.

Tytuł:: Bayesian Variations on the Frisch and Waugh Theme
Autorzy:: Osiewalski, Jacek
Tematy:: Bayesian inference
regression models
SURE models
VAR processes
data transformations; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/483315.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 4.

Tytuł:: Some remarks on permutation type tests in linear models
Autorzy:: Husková, Marie
Picek, Jan
Tematy:: hypotheses testing
linear regression models
L₁- and L₂ - procedures; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Powiązania:: https://bibliotekanauki.pl/articles/729768.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

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
Tematy:: machine learning
soil properties
near infrared spectral response
stacked regression models; Pokaż więcej
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Powiązania:: https://bibliotekanauki.pl/articles/1838007.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 6.

Tytuł:: O interpretacji nieparametrycznych modeli regresyjnych
Parametric Interpretation of Non-Parametric Regression Models
Autorzy:: Stelmach, Jacek
Tematy:: Metoda Monte Carlo
Modele regresji
Regresja nieparametryczna
Monte Carlo method
Nonparametric regression Regression models; Pokaż więcej
Wydawca:: Uniwersytet Ekonomiczny w Katowicach
Powiązania:: https://bibliotekanauki.pl/articles/588048.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 7.

Tytuł:: Switching regression models with non-normal errors
Modele regresji przełącznikowej ze składnikami losowymi o rozkładach rożnych od normalnego
Autorzy:: Pruska, Krystyna
Tematy:: switching regression models
maximum likelihood method
pseudo maximum likelihood method; Pokaż więcej
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Powiązania:: https://bibliotekanauki.pl/articles/904609.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 8.

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
Tematy:: GIS
IDW technique
crack identification
linear single
multi-regression models; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Powiązania:: https://bibliotekanauki.pl/articles/36072623.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 9.

Tytuł:: Wybrane statystyki odporne
Some Robust Statistical Methods
Autorzy:: Trzpiot, Grażyna
Tematy:: Estymatory
Metody statystyczne
Modele regresji
Statystyka
Estimators
Regression models
Statistical methods
Statistics; Pokaż więcej
Wydawca:: Uniwersytet Ekonomiczny w Katowicach
Powiązania:: https://bibliotekanauki.pl/articles/586408.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 10.

Tytuł:: Insight into the pattern of heavy-metal accumulation in lichen thalli
Autorzy:: Skubała, Kaja
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Artykuł

na półce

Informacja

Wyszukujesz frazę "Regression models" wg kryterium: Temat