On definitive screening designs using Paley's conference matrices

Yaping Wang; Sixu Liu; Dennis K.J. Lin

doi:10.1016/j.spl.2021.109267

On definitive screening designs using Paley's conference matrices

Yaping Wang, Sixu Liu, Dennis K.J. Lin

School of Statistics

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

7 Scopus citations

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.

Original language	English
Article number	109267
Journal	Statistics and Probability Letters
Volume	181
DOIs	https://doi.org/10.1016/j.spl.2021.109267
State	Published - Feb 2022

Keywords

Correlation
Fold-over
Generalized aberration criterion
J-characteristic
Two-factor interactions

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10.1016/j.spl.2021.109267

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title = "On definitive screening designs using Paley's conference matrices",

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, J-characteristic, Two-factor interactions",

author = "Yaping Wang and Sixu Liu and Lin, \{Dennis K.J.\}",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",

year = "2022",

month = feb,

doi = "10.1016/j.spl.2021.109267",

language = "英语",

volume = "181",

journal = "Statistics and Probability Letters",

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publisher = "Elsevier B.V.",

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TY - JOUR

T1 - On definitive screening designs using Paley's conference matrices

AU - Wang, Yaping

AU - Liu, Sixu

AU - Lin, Dennis K.J.

PY - 2022/2

Y1 - 2022/2

N2 - 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.

AB - 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.

KW - Correlation

KW - Fold-over

KW - Generalized aberration criterion

KW - J-characteristic

KW - Two-factor interactions

UR - https://www.scopus.com/pages/publications/85117372896

U2 - 10.1016/j.spl.2021.109267

DO - 10.1016/j.spl.2021.109267

M3 - 文章

AN - SCOPUS:85117372896

SN - 0167-7152

VL - 181

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

M1 - 109267

ER -

On definitive screening designs using Paley's conference matrices

Abstract

Keywords

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