On definitive screening designs using Paley’s conference matrices
Yaping Wang,
Sixu Liu and
Dennis K.J. Lin
Statistics & Probability Letters, 2022, vol. 181, issue C
Abstract:
Definitive screening designs (DSDs) are widely used for studying quantitative factors. However, DSDs constructed from different conference matrices are not equally good. We show DSDs using Paley’s conference matrices guarantee desirable performance (either optimal or near-optimal) under several important criteria.
Keywords: Correlation; Fold-over; Generalized aberration criterion; J4-characteristic; Two-factor interactions (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:181:y:2022:i:c:s0167715221002297
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DOI: 10.1016/j.spl.2021.109267
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