A case study in the application of supersaturated designs to computer experiments

Minqian Liu*, Kaitai Fang

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

6 Citations (Scopus)


Supersaturated design is essentially a fractional factorial design in which the number of potential effects is greater than the number of runs. In this article, the supersaturated design is applied to a computer experiment through an example of steady current circuit model problem. A uniform mixed-level supersaturated design and the centered quadratic regression model are used. This example shows that supersaturated design and quadratic regression modeling method are very effective for screening effects and building the predictor. They are not only useful in computer experiments but also in industrial and other scientific experiments.

Original languageEnglish
Pages (from-to)595-602
Number of pages8
JournalActa Mathematica Scientia
Issue number4
Publication statusPublished - Oct 2006
Externally publishedYes

Scopus Subject Areas

  • Mathematics(all)
  • Physics and Astronomy(all)

User-Defined Keywords

  • computer experiment
  • quadratic regression model
  • Supersaturated design
  • uniform design


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