Three-level supersaturated designs

Shu Yamada, Dennis K.J. Lin

Research output: Contribution to journalArticlepeer-review

87 Scopus citations


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 (US)
Pages (from-to)31-39
Number of pages9
JournalStatistics and Probability Letters
Issue number1
StatePublished - Oct 15 1999

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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