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Technometrics Volume 65, 2023 - Issue 1
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Articles

Selection of Two-Level Supersaturated Designs for Main Effects Models

Rakhi SinghUniversity of North Carolina at Greensboro, Greensboro, NCView further author information
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John StufkenUniversity of North Carolina at Greensboro, Greensboro, NCCorrespondence[email protected] [email protected]
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Pages 96-104 | Received 03 Aug 2020, Accepted 30 Jun 2022, Published online: 13 Sep 2022

Citations (4)

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Read on this site (1)

Rakhi Singh. (2024) Best practices for multi- and mixed-level supersaturated designs. Journal of Quality Technology 56:2, pages 113-127.
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Articles from other publishers (3)

Rakhi Singh & John Stufken. (2024) Factor selection in screening experiments by aggregation over random models. Computational Statistics & Data Analysis 194, pages 107940.
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Rakhi Singh. (2023) Pareto-efficient designs for multi- and mixed-level supersaturated designs. Statistics and Computing 34:1.
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Youran Qi & Peter Chien. (2023) Construction of Supersaturated Designs with Small Coherence for Variable Selection. The New England Journal of Statistics in Data Science, pages 323-333.
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