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Quality Engineering Volume 36, 2024 - Issue 2
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Research Article

I-optimal or G-optimal: Do we have to choose?

Stephen J. Walsha Department of Mathematics and Statistics, Utah State University, Logan, UT, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0505-648XView further author information
ORCID Icon,
Lu Lub Department of Mathematics and Statistics, University of South Florida, Tampa, FL, USAORCID Iconhttps://orcid.org/0000-0001-7754-9374View further author information
ORCID Icon &
Christine M. Anderson-Cookc Los Alamos, NM, USAORCID Iconhttps://orcid.org/0000-0002-0165-5565View further author information
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Pages 227-248 | Published online: 13 Apr 2023

Citations (4)

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Read on this site (1)

Guodong Wang, Xiaoyang Li, Guanqi Fang, Zhen He & Geoff Vining. (2023) Optimal design for reliability improvement experiments with a non-constant scale parameter. Quality Technology & Quantitative Management 0:0, pages 1-18.
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Articles from other publishers (3)

Stephen J. Walsh, Thomsen B. Bolton & John J. Borkowski. (2024) Generating optimal designs with user‐specified pure replication structure. Quality and Reliability Engineering International.
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Hannu Rummukainen, Hanna Hörhammer, Pirkko Kuusela, Jorma Kilpi, Jari Sirviö & Mikko Mäkelä. (2024) Traditional or adaptive design of experiments? A pilot-scale comparison on wood delignification. Heliyon 10:2, pages e24484.
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Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2023) Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm. Mathematics 11:16, pages 3558.
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