Cette note présente une série de caractéristiques disponibles dans la littérature et permettant essentiellement la détection de données influentes et des situations de colinéarité, dans le cas de la régression linéaire. Une attention particulière est consacrée aux notions utilisées dans les programmes de régression des logiciels Minitab et SAS. Deux exemples sont examinés, à titre d'illustration.This note briefly reviews the main influence and collinearity diagnostics which have been presented in the lilterature, in the context of linear regression. A special attention is given to the diagnostics used by the Minitabl and SAS softwares. Two illustrative examples are given
Linear regression (LR) is a powerful statistical model when used correctly. Because the model is an ...
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis,...
In this paper, the cross-validation methods namely the $$C_{p}$$Cp, PRESS and GCV are presented unde...
This note first reviews methods used for checking the assumptions in linear regression (lack of fit,...
International audienceThis chapter deals with the very simple situation where the mean of a variable...
International audienceThis chapter deals with the multiple linear regression. That is we investigate...
1<p>For probability values less than 5% it is rejected that a linear relation is as good as a quadra...
Abstract Background Linear regression analysis is a widely used statistical technique in practical a...
Linear regression is a statistical procedure for calculating the value of a dependent variable from ...
Includes bibliographical references (leaves 118-120)The problems of detecting influential observatio...
The problem of multicollinearity compromises the numerical stability of the regression coefficient e...
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of dia...
In this article, we present a method for sample size calculation for studies involving both the inte...
Linear regression is treated in the first section of the document. After that, logicits regression i...
Linear regression has gained widespread popularity in the social sciences. However, many application...
Linear regression (LR) is a powerful statistical model when used correctly. Because the model is an ...
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis,...
In this paper, the cross-validation methods namely the $$C_{p}$$Cp, PRESS and GCV are presented unde...
This note first reviews methods used for checking the assumptions in linear regression (lack of fit,...
International audienceThis chapter deals with the very simple situation where the mean of a variable...
International audienceThis chapter deals with the multiple linear regression. That is we investigate...
1<p>For probability values less than 5% it is rejected that a linear relation is as good as a quadra...
Abstract Background Linear regression analysis is a widely used statistical technique in practical a...
Linear regression is a statistical procedure for calculating the value of a dependent variable from ...
Includes bibliographical references (leaves 118-120)The problems of detecting influential observatio...
The problem of multicollinearity compromises the numerical stability of the regression coefficient e...
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of dia...
In this article, we present a method for sample size calculation for studies involving both the inte...
Linear regression is treated in the first section of the document. After that, logicits regression i...
Linear regression has gained widespread popularity in the social sciences. However, many application...
Linear regression (LR) is a powerful statistical model when used correctly. Because the model is an ...
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis,...
In this paper, the cross-validation methods namely the $$C_{p}$$Cp, PRESS and GCV are presented unde...