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Simplex-based screening designs for estimating metamodels

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.
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Contributor : Gilles Pujol <>
Submitted on : Wednesday, July 23, 2008 - 6:17:03 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:16 PM
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Gilles Pujol. Simplex-based screening designs for estimating metamodels. Reliability Engineering and System Safety, Elsevier, 2009, 94 (7), pp.1156-1160. ⟨10.1016/j.ress.2008.08.002⟩. ⟨hal-00305313⟩



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