L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites

This paper introduces the theoretical basis of the loglinear methods, as a substitute to analysis of variance when variables are categorical, and logit, as a substitute to regression analysis in the same context. Their specific advantage is to allow the modelling of categorical, thus qualitative dat...

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Autores principales:	Estelle Kah, Michel Pruvot
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2003
Materias:	logistic model loglinear qualitative data interaction odds ratio Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/f2ed7143edf646eab8c21e9824c39e89
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id	oai:doaj.org-article:f2ed7143edf646eab8c21e9824c39e89
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spelling	oai:doaj.org-article:f2ed7143edf646eab8c21e9824c39e892021-12-02T11:14:38ZL'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites1278-336610.4000/cybergeo.3481https://doaj.org/article/f2ed7143edf646eab8c21e9824c39e892003-01-01T00:00:00Zhttp://journals.openedition.org/cybergeo/3481https://doaj.org/toc/1278-3366This paper introduces the theoretical basis of the loglinear methods, as a substitute to analysis of variance when variables are categorical, and logit, as a substitute to regression analysis in the same context. Their specific advantage is to allow the modelling of categorical, thus qualitative data, often collected from surveys, while keeping their probabilistic nature. The stress is put on the concepts of interaction and odds ratio which allow to unveil complex phenomena with nonlinear relations.Estelle KahMichel PruvotUnité Mixte de Recherche 8504 Géographie-citésarticlelogistic modelloglinearqualitative datainteractionodds ratioGeography (General)G1-922DEENFRITPTCybergeo (2003)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	logistic model loglinear qualitative data interaction odds ratio Geography (General) G1-922
spellingShingle	logistic model loglinear qualitative data interaction odds ratio Geography (General) G1-922 Estelle Kah Michel Pruvot L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
description	This paper introduces the theoretical basis of the loglinear methods, as a substitute to analysis of variance when variables are categorical, and logit, as a substitute to regression analysis in the same context. Their specific advantage is to allow the modelling of categorical, thus qualitative data, often collected from surveys, while keeping their probabilistic nature. The stress is put on the concepts of interaction and odds ratio which allow to unveil complex phenomena with nonlinear relations.
format	article
author	Estelle Kah Michel Pruvot
author_facet	Estelle Kah Michel Pruvot
author_sort	Estelle Kah
title	L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
title_short	L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
title_full	L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
title_fullStr	L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
title_full_unstemmed	L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
title_sort	l'analyse log-linéaire de tableaux de contingence et le modèle logit i : principe, usage, intérêt et limites
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2003
url	https://doaj.org/article/f2ed7143edf646eab8c21e9824c39e89
work_keys_str_mv	AT estellekah lanalyseloglineairedetableauxdecontingenceetlemodelelogitiprincipeusageinteretetlimites AT michelpruvot lanalyseloglineairedetableauxdecontingenceetlemodelelogitiprincipeusageinteretetlimites
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L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites

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