On the construction of multi-level supersaturated designs

Kai-Tai Fang, Dennis K.J. Lin*, Chang-Xing Ma

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

77 Citations (Scopus)


New criteria of comparing multi-level supersaturated designs are proposed and their properties are studied. A new class of multi-level supersaturated designs are obtained by collapsing a U-type uniform design to an orthogonal array. A global optimization algorithm, the threshold accepting algorithm, is then applied to search for the best supersaturated designs under any prespecified criterion. Examples show that these newly constructed supersaturated designs have good modeling properties.
Original languageEnglish
Pages (from-to)239-252
Number of pages14
JournalJournal of Statistical Planning and Inference
Issue number1
Early online date20 Mar 2000
Publication statusPublished - 15 Apr 2000
Externally publishedYes

Scopus Subject Areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

User-Defined Keywords

  • 62K10
  • 62K15
  • Collapsing method
  • Effect sparsity
  • Near orthogonal design
  • Orthogonal array
  • Supersaturated designs
  • Threshold accepting
  • U -type designs
  • Uniform designs


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