A resolution rank criterion for supersaturated designs

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

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Hadamard matrices are found to be useful in constructing supersaturated designs. In this paper, we study a special form of supersaturated designs using Hadamard matrices. Properties of such a supersaturated design are discussed. It is shown that the popular E(S2) criterion is in general inadequate to measure the goodness of a supersaturated design. A new criterion based upon the projection property, called resolution rank (r-rank), is proposed. Furthermore, an upper bound for r-rank is given for practical use.

Original languageEnglish (US)
Pages (from-to)605-610
Number of pages6
JournalStatistica Sinica
Volume9
Issue number2
StatePublished - Apr 1 1999

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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