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Screening Experiments for Simulation: A Review

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  • Kleijnen, J.P.C.

    (Tilburg University, Center for Economic Research)

Abstract

This article reviews so-called screening in simulation; i.e., it examines the search for the really important factors in experiments with simulation models that have very many factors (or inputs). The article focuses on a most efficient and effec- tive screening method, namely Sequential Bifurcation. It ends with a discussion of possible topics for future research, and forty references for further study.

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File URL: http://arno.uvt.nl/show.cgi?fid=58639
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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2007-21.

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Date of creation: 2007
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Handle: RePEc:dgr:kubcen:200721

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Web page: http://center.uvt.nl

Related research

Keywords: Screening; Metamodel; Response Surface; Design;

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References

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  1. S. M. Lewis & A. M. Dean, 2001. "Detection of interactions in experiments on large numbers of factors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 633-672.
  2. Kleijnen, J.P.C. & Bettonvil, B.W.M., 1997. "Searching for important factors in simulation models with many factors: Sequential bifurcation," Open Access publications from Tilburg University urn:nbn:nl:ui:12-73905, Tilburg University.
  3. Persson, Fredrik & Olhager, Jan, 2002. "Performance simulation of supply chain designs," International Journal of Production Economics, Elsevier, vol. 77(3), pages 231-245, June.
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