Supersaturated designs with high searching probability

Kashinath Chatterjee, Angshuman Sarkar, Dennis K.J. Lin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A supersaturated design is essentially a fractional factorial design whose number of experimental variables is greater than or equal to its number of experimental runs. Under the effect sparsity assumption, a supersaturated design can be very cost-effective. In this paper, our prime objective is to compare the existing two-level supersaturated designs for the noisy case through the probability of correct searching-a powerful criterion proposed by Shirakura et al. [1996. Searching probabilities for nonzeroeffects in search designs for the noisy case. Ann. Statist. 24, 2560-2568]. An algorithm is proposed to construct supersaturated designs with high probability of correct searching. Examples are given for illustration.

Original languageEnglish (US)
Pages (from-to)272-277
Number of pages6
JournalJournal of Statistical Planning and Inference
Volume138
Issue number1
DOIs
StatePublished - Jan 1 2008

All Science Journal Classification (ASJC) codes

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

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