Construction of mixed-level supersaturated design

Shu Yamada, Deanis K.J. Lin

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)


Supersaturated design is a form of fractional factorial design in which the number of columns is greater than the number of experimental runs. Construction methods of supersaturated design have been mainly focused on two levels cases. Much practical experience, however, indicates that two-level may sometimes be inadequate. This paper proposed a construction method of mixed-level supersaturated designs consisting of two-level and three-level columns. The Χ2 statistic is used for a measure of dependency of the design columns. The dependency properties for the newly constructed designs are derived and discussed. It is shown that these new designs have low dependencies and thus can be useful for practical uses.

Original languageEnglish
Pages (from-to)205-214
Number of pages10
Issue number3
Publication statusPublished - 2002
Externally publishedYes


  • Average and maximum dependency
  • Orthogonality
  • Χ-statistics

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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