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Description et prédiction à partir de données structurées en plusieurs tableaux : Application en épidémiologie animale.

Abstract : This work deals with factor analysis method to investigate relationships among several data sets in veterinary epidemiology. Considering the aims and the nature of data collected within this framework, the research work is focused on the multiblock setting for the purpose of exploring and modelling one data set from several other data sets. The key feature is to handle the sensitivity of these methods to multicolinearity problem among the explanatory variables. Existing methods are described and unified by considering the criteria to be optimised or by setting up a continuum approach. New formulations of alternative methods which are robust to the multicolinearity problem are discussed. These methods can be applied to data organised in two or several data sets. The interest of the general strategy of analysis, related to the methods and continuums, is illustrated on the basis of real case studies pertaining to veterinary epidemiology.
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https://tel.archives-ouvertes.fr/tel-00267595
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Submitted on : Thursday, March 27, 2008 - 5:26:29 PM
Last modification on : Monday, October 19, 2020 - 11:07:33 AM
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  • HAL Id : tel-00267595, version 1

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Stéphanie Bougeard. Description et prédiction à partir de données structurées en plusieurs tableaux : Application en épidémiologie animale.. domain_other. Université Rennes 2, 2007. Français. ⟨tel-00267595⟩

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