Probability of correct model identification in supersaturated design

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

Research output: Contribution to journalArticle

3 Citations (Scopus)

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

Fingerprint

Supersaturated Design
Model Identification
Factorial Experiment
Maximise
Design
Experiment
Factors

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Sarkar, Angshuman ; Lin, Dennis K.J. ; Chatterjee, Kashinath. / Probability of correct model identification in supersaturated design. In: Statistics and Probability Letters. 2009 ; Vol. 79, No. 9. pp. 1224-1230.
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Probability of correct model identification in supersaturated design. / Sarkar, Angshuman; Lin, Dennis K.J.; Chatterjee, Kashinath.

In: Statistics and Probability Letters, Vol. 79, No. 9, 01.05.2009, p. 1224-1230.

Research output: Contribution to journalArticle

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AU - Chatterjee, Kashinath

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