Marginally over saturated designs

Lih Yuan Deng, Dennis K.J. Lin, Jiannong Wang

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

A special class of supersaturated design, called marginally over saturated design (MOSD), in which the number of variables under investigation (k) is only slightly larger than the number of experimental runs (n), is presented. Several optimality criteria for supersaturated designs are discussed. It is shown that the resolution rank criterion is most appropriate for screening situations. The construction method builds on two major theorems which provide an efficient way to evaluate resolution rank. Examples are given for the cases n=8, 12, 16, and 20. Potential extensions for future work are discussed.

Original languageEnglish (US)
Pages (from-to)2557-2573
Number of pages17
JournalCommunications in Statistics - Theory and Methods
Volume25
Issue number11
DOIs
StatePublished - Jan 1 1996

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

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