Forward selection error control in the analysis of supersaturated designs

Peter H. Westfall, S. Stanley Young, Dennis K.J. Lin

Research output: Contribution to journalArticle

75 Scopus citations

Abstract

Supersaturated designs are designed to assess the effects of many factors simultaneously. The assumption of "effect sparsity" is often needed to justify the selection of these designs. However, when effect sparsity holds, Type I errors can easily occur. Forward-selection multiple test procedures are proposed to address and solve this problem.

Original languageEnglish (US)
Pages (from-to)101-117
Number of pages17
JournalStatistica Sinica
Volume8
Issue number1
StatePublished - Jan 1 1998

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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