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An improved optimisation procedure for desirability indices

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  • Steuer, Detlef

Abstract

As will be shown the current use of Desirability Indices for optimisation purposes in experimental design gives biased results in general. Researchers were satisfied with approximative solutions as unbiased results would have required analytical expressions for the distributions of Desirability Indices. These expressions are unavailable. Today’s computing power allows to use Monte-Carlo estimators for estimating exact solutions instead of analytical solutions and therefore to improve the estimation process for Desirabilities.

Suggested Citation

  • Steuer, Detlef, 2000. "An improved optimisation procedure for desirability indices," Technical Reports 2000,27, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200027
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    File URL: https://www.econstor.eu/bitstream/10419/77256/2/2000-27.pdf
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    Cited by:

    1. Heike Trautmann & Claus Weihs, 2006. "On the distribution of the desirability index using Harrington’s desirability function," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 63(2), pages 207-213, April.

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