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Probability of correct model identification in supersaturated design

Author

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  • Sarkar, Angshuman
  • Lin, Dennis K.J.
  • Chatterjee, Kashinath

Abstract

A criterion for comparing two competitive designs is proposed for symmetric factorial experiment based on the probability of correct identification of active factors. An algorithm for constructing multi-level supersaturated designs which maximize the probability of correct model identification is presented.

Suggested Citation

  • Sarkar, Angshuman & Lin, Dennis K.J. & Chatterjee, Kashinath, 2009. "Probability of correct model identification in supersaturated design," Statistics & Probability Letters, Elsevier, vol. 79(9), pages 1224-1230, May.
    • Handle: RePEc:eee:stapro:v:79:y:2009:i:9:p:1224-1230
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    References listed on IDEAS

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    1. Yamada, Shu & Lin, Dennis K. J., 1999. "Three-level supersaturated designs," Statistics & Probability Letters, Elsevier, vol. 45(1), pages 31-39, October.
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    Cited by:

    1. Li, Peng & Zhao, Shengli & Zhang, Runchu, 2010. "A cluster analysis selection strategy for supersaturated designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1605-1612, June.

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