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1 3MI-ENSMSE - Département Méthodes et Modèles Mathématiques pour l-Industrie 2 GdR MASCOT-NUM - Méthodes d-Analyse Stochastique des Codes et Traitements Numériques

Abstract : The screening method proposed by Morris in 1991 allows to identify the important factors of a model, including those involved in interactions. This method, known as the elementary effects method, relies on a -one-factor-at-a-time- OAT design of experiments, i.e. two successive points differ only by one factor. In this article, we introduce a non-OAT simplex-based design for the elementary effects method. Its main advantage, compared to Morris-s OAT design, is that the sample size doesn-t collapse when the design is projected on sub-spaces spanned by groups of factors. The use of this design to estimate a metamodel depending only on the screened important factors is discussed.

Autor: Gilles Pujol -



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