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Theses

Effets masqués en analyse prédictive

Abstract : The objective of this thesis is the development of two methodologies to reveal previously hidden effects in decision modeling. In the first part, we try to implement a method of local analysis in order to select criteria in the context of binary choices. In a second part, we highlight the effects of generations in the study of consumer behavior. In both parts, our research approach combines new predictive analytical tools (such as Support Vector Machines, FANOVA, PLS) to traditional tools of inferential statistics, to enrich the usual results by additional on the masked effects, which are the local effects in the binary choice functions, and the effects of generation in temporal choice behavior analysis.The proposed methodologies, respectively named AEL and APC- PLS are both applied to real cases in order to illustrate their operation and relevance.
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https://tel.archives-ouvertes.fr/tel-02572980
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Submitted on : Thursday, May 14, 2020 - 1:01:20 AM
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Ganaël Bascoul. Effets masqués en analyse prédictive. Gestion et management. Université de Strasbourg, 2013. Français. ⟨NNT : 2013STRAB015⟩. ⟨tel-02572980⟩

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