Temat: linear regression models

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

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
Tematy:: engine’s reliability
statistical regression analysis
linear regression models
ANCOVA
MAPE
hydrotreated vegetable oil; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Powiązania:: https://bibliotekanauki.pl/articles/28328353.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Generalized linear models
Uogólnione modele liniowe
Autorzy:: Stompór, Paulina
Opis:: The diploma thesis begins with a presentation of linear regression, what are its assumptions and what methods can be used to estimate parameters. Then it focuses on the main part - generalized linear models. Then it indicates differences between the classic and generalized models. Subsequently, the necessary concepts and examples are introduced. The last chapter describes the logistic regression model created in the R program and its analysis.
Praca dyplomowa rozpoczyna się od przedstawienia czym jest regresja liniowa, jakie są jej założenia oraz jakimi metodami możemy estymować parametry. Następnie skupia się na zasadniczej części, czyli modelach uogólnionych. W pracy wskazano różnice pomiędzy modelami klasycznymi a uogólnionymi. W dalszej części wprowadzono niezbędne pojęcia oraz przedstawiono przykłady. W ostatnim rozdziale opisano model regresji logistycznej stworzony w programie R oraz przeprowadzono jego analizę.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 4.

Tytuł:: Non-Linear Regression Models for Volume Estimation of Gmelina arborea (Roxb.) in Uyo Ravine Plantation, Akwa Ibom State, Nigeria
Autorzy:: Oyebade, B. A.
Aigbe, H. I.
Eguakun, F. S.
Edem, M. A.
Tematy:: Gmelina arborea
Models
Non-linear Regression
Volume estimation; Pokaż więcej
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:: https://bibliotekanauki.pl/articles/1030779.pdf Link otwiera się w nowym oknie
Opis:: This research elucidates non linear relationship for volume estimation of Gmelina arborea in Uyo Ravine plantation, Akwa Ibom State Nigeria. Series of functional models were developed and the estimates of measurement of stand parameters such as diameter at breast height (DBH), stump diameter (Dst), total height (THT), merchantable height, (MTH), merchantable length (MLT) were used for modeling procedures for best fit models for stand volume estimation. Twenty temporary sample plots of 20m x 20m were randomly established without replacement and all trees in each plot were measured. Quantitative data collected were subjected to correlation and regression analyses for determination of empirical relationship between the growth variables. The developed models for volume estimation were evaluated by confirming the goodness of fit of the model and the statistical significance of the parameters using statistical relevant fit indices and criteria. The results of the study showed there were significant associations between the Gmelina arborea growth characteristics both at the individual and stand levels. The correlation analyses revealed a significant association with coefficient of correlation (r) ranging from 0.576 – 0.836 among the Gmelina arborea growth characteristics at the stand level while the association between the volume and diameter at breast height gave r-value of 0.978 which was very significant P<0.05. Similarly, the results of the study in testing for relationship among the growth parameters using volume models showed that the non linear regression volume models significantly fulfilled the criteria for model selection or goodness of fit among cubic, logarithm and quadratic non linear regression models with their coefficient of determination (R2) ranging from 0.640-0.881 and low values of standard error of the estimate (SEE) at P< 0.05. These models were recommended for volume estimation of Gmelina arborea in the study area and other Gmelina arborea plantations for effective plantation forest management in Nigeria.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: ANALYSIS OF CALENDAR EFFECTS IN MARKETS OF PRECIOUS METALS
Autorzy:: Krawiec, Monika
Górska, Anna
Tematy:: precious metals
calendar effects
linear regression
GARCH models; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Powiązania:: https://bibliotekanauki.pl/articles/453430.pdf Link otwiera się w nowym oknie
Opis:: Calendar effects are anomalies in the behavior of asset prices that may disprove the efficient market hypothesis. The well recognized are: day-of-the-week effect, month-of-the-year effect, holidays effect and turn-of-the-month effect. These anomalies are observed in many financial markets, most often on stock exchanges, thus studies on calendar effects usually focus on stock markets. However, the aim of the paper is searching for the anomalies in precious metals markets (the empirical data covers London daily spot prices from 2008 through 2013). This is the continuation of authors’ prior research aimed at testing weak market efficiency hypothesis for precious metals markets.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Generalized Linear Models
Uogólnione modele liniowe
Autorzy:: Wilga, Michał
Opis:: Praca omawia klasę uogólnionych modeli liniowych, ich własności, estymację parametrów oraz analizę dopasowania. Bardziej szczegółowo zostały omówione 3 modele - model dwumianowy, model Poissona i model wielomianowy. Powyższe modele zostały również zaimplementowane w środowisku R na podstawie przykładów z wykorzystaniem oryginalnych danych.
This master's thesis is about the class of Generalized Linear Models, their properties, parameter estimation and inference. The master's thesis presents in more detail 3 generalized models - binomial regression model, Poisson regression and multinomial regression. Those models have been also implemented in R and have been used to analize sample data.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 7.

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

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Skocz do pozycji: 8.

Tytuł:: Analiza możliwości zastosowania metody DEA w modelach scoringowych
Analysis of the DEA Method Applicability in Scoring Models
Autorzy:: Nowak, Agnieszka K.
Matuszyk, Anna
Tematy:: Metoda DEA (Data Envelopment Analysis)
Modele regresji
Regresja liniowa
Ryzyko kredytowe
Scoring
Skoring kredytowy
Credit risk
Credit scoring
Data Envelopment Analysis (DEA)
Linear regression
Regression models; Pokaż więcej
Wydawca:: Uniwersytet Ekonomiczny w Katowicach
Powiązania:: https://bibliotekanauki.pl/articles/591114.pdf Link otwiera się w nowym oknie
Opis:: A clue for the research have become analysis made by A. Feruś in 2006, In which the author points the possibility of extending classical scoring models with the DEA method, allowing to predict a credit risk. In 2006, in the era of the Basel II implementation, the possibility of such an extension was not reflected in the practice of banks in Poland. But now, as a part of the Basel III implementation, it is reasonable to consider the possibility of their expantion, for example using the DEA . The study was carried out on the basis of 139 companies operating in Poland in 2010-2011 data and a comparison with their actual condition in 2012. Survey results both for 2010 and 2011 indicate a weaker prediction of the scoring models alone than scoring models with DEA In terms of: correct customers classification and the value of a R2 determination factor.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Liniowo-dynamiczny model optymalizacyjny gospodarstwa rolnego w województwie zachodniopomorskim ze stochastycznymi parametrami
Dynamic linear optymalization model of farm in West Pomerania province with stochastic parameters
Autorzy:: Zaród, Jadwiga
Tematy:: model liniowo-dynamiczny
stochastyczne parametry modelu
równania regresji
dochód rolniczy
dynamic linear model
stochastic parameters of the models
regression equations
farm income; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Powiązania:: https://bibliotekanauki.pl/articles/453549.pdf Link otwiera się w nowym oknie
Opis:: Na podstawie danych GUS i ARiMR zbudowano liniowodynamiczny model gospodarstwa rolnego. Model ten składa się z czterech bloków połączonych ze sobą za pomocą warunków wspólnych.. Parametry techniczno-ekonomiczne modelu, dotyczące wydajności podstawowych upraw, zastąpiono równaniami regresji. W celu uwzględnienia losowego charakteru funkcji celu wykorzystano trzy algorytmy: maksymalizujący dochód rolniczy (model E), minimalizujący ryzyko osiągnięcia dochodu rolniczego (model V) oraz minimalizujący ryzyko uzyskania dochodu z określonego przedziału (VE).
Based on data from CSO and the ARMA constructed a dynamic optimization model of the farm. This model consists of four blocks (one for each year) linked together by means of common conditions, established on the principle of recursive relationships. Technical and economic parameters of the model related to the primary productivity of crops, were replaced by regression equations. To take into account the random nature of the objective function three algorithms were used: maximizing farm income (model E), which minimizes the risk of achieving agricultural income (model V) and minimizes the risk of receiving income from a specific interval (VE).
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Modelowanie cech drzew i drzewostanów z wykorzystaniem modeli efektów mieszanych
Modeling of the tree and stand parameters using mixed-effects models
Autorzy:: Bronisz, K.
Tematy:: lesnictwo
drzewostany
drzewa lesne
grubosc kory
cechy dendrometryczne
modelowanie
modele liniowe
modele efektow mieszanych
bark thickness
scots pine
regression
linear mixed−effects models; Pokaż więcej
Wydawca:: Polskie Towarzystwo Leśne
Powiązania:: https://bibliotekanauki.pl/articles/980258.pdf Link otwiera się w nowym oknie
Opis:: Regression analysis is one of the most popular statistical modeling tools, which can define linear or nonlinear relationships between individual trees and stands parameters. Mixed−effects models are one of the contemporary trends of those regression methods. These models can be applied to describe such features as: height, biomass, taper, site index or volume both at the level of a single tree and whole forest ecosystems. The aim of this work is to present the characteristics of the mixed−effects model, the applicability of linear and nonlinear mixed−effects models in forest studies, and the example of a linear mixed−effects model defining the relationship between bark thickness and diameter at breast height for Scots pine (Pinus sylvestris L.) in comparison to the linear fixed−effect model. Goodness−of−fit for the obtained linear mixed−effect model indicate its better fit to the pine bark thickness than in the case of the mixed−effects model. Moreover, most of the published research results indicate the predominance of both linear and nonlinear mixed−effects models according to fixed−effect ones. These studies indicate the wide possibilities of using mixed−effect models in forestry. However, there are also results pointing to the disadvantages of these models and put into question the legitimacy of their use in forest research. This fact to some extent confirms the results (residuals behavior) obtained in this study. Therefore, it seems necessary to conduct further research, which on the one hand will allow the potential of this solution to be used, and on the other hand will help to clarify emerging doubts.
Dostawca treści:: Biblioteka Nauki

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