Probability of correct model identification in supersaturated design

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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A criterion for comparing two competitive designs is proposed for symmetric factorial experiment based on the probability of correct identification of active factors. An algorithm for constructing multi-level supersaturated designs which maximize the probability of correct model identification is presented.

Original languageEnglish (US)
Pages (from-to)1224-1230
Number of pages7
JournalStatistics and Probability Letters
Volume79
Issue number9
DOIs
StatePublished - May 1 2009

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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