Three-level supersaturated designs

Shu Yamada, Dennis K.J. Lin

Research output: Contribution to journalArticle

75 Citations (Scopus)

Abstract

When experimentation is expensive and the number of factors is large, supersaturated designs can be helpful. They are essentially fractional factorial designs in which the number of factors is greater than the number of experimental runs. Previous studies have focused on two-level supersaturated designs. This paper presents a new class of three-level supersaturated designs with an equal occurrence property. It is shown that designs generated by such a universal construction method result in a low dependency among all columns.

Original languageEnglish
Pages (from-to)31-39
Number of pages9
JournalStatistics and Probability Letters
Volume45
Issue number1
DOIs
Publication statusPublished - 1999 Oct 15

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Keywords

  • Dependency
  • Factorial design
  • Inner product
  • Two-level design
  • χ statistic

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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