Probability of correct model identification in supersaturated design

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

doi:10.1016/j.spl.2009.01.017

Probability of correct model identification in supersaturated design

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

Statistics

Research output: Contribution to journal › Article › peer-review

4 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 language	English (US)
Pages (from-to)	1224-1230
Number of pages	7
Journal	Statistics and Probability Letters
Volume	79
Issue number	9
DOIs	https://doi.org/10.1016/j.spl.2009.01.017
State	Published - May 1 2009

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1016/j.spl.2009.01.017

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title = "Probability of correct model identification in supersaturated design",

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.",

author = "Angshuman Sarkar and Lin, \{Dennis K.J.\} and Kashinath Chatterjee",

year = "2009",

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doi = "10.1016/j.spl.2009.01.017",

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T1 - Probability of correct model identification in supersaturated design

AU - Sarkar, Angshuman

AU - Lin, Dennis K.J.

AU - Chatterjee, Kashinath

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Y1 - 2009/5/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/63549133259

UR - https://www.scopus.com/pages/publications/63549133259#tab=citedBy

U2 - 10.1016/j.spl.2009.01.017

DO - 10.1016/j.spl.2009.01.017

M3 - Article

AN - SCOPUS:63549133259

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VL - 79

SP - 1224

EP - 1230

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

IS - 9

ER -

Probability of correct model identification in supersaturated design

Abstract

All Science Journal Classification (ASJC) codes

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