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Communications in Statistics - Theory and Methods Volume 48, 2019 - Issue 10
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Letter

A-optimal designs for mixture central polynomial model with qualitative factors

Zhibin ZhuSchool of Economics and Statistics, Guangzhou University, Guangzhou, ChinaView further author information
,
Guanghui LiSchool of Economics and Statistics, Guangzhou University, Guangzhou, ChinaView further author information
&
Chongqi ZhangSchool of Economics and Statistics, Guangzhou University, Guangzhou, ChinaCorrespondence[email protected]
View further author information
Pages 2345-2355 | Received 01 Oct 2017, Accepted 23 Feb 2018, Published online: 23 Oct 2018

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Read on this site (3)

Xiaoyuan Zhu & Honghua Hao. (2024) A-optimal design for the special cubic mixture model. Communications in Statistics - Theory and Methods 53:3, pages 1081-1090.
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Jiali Chen, Ling Ling & Chongqi Zhang. (2023) D- and A-optimal designs for multi-response mixture experiments with qualitative factors. Communications in Statistics - Theory and Methods 0:0, pages 1-19.
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Weixia Li, Zhibin Zhu, Xiaoyuan Zhu & Chongqi Zhang. (2023) Mixture design model with uncertain response and its application. Communications in Statistics - Simulation and Computation 52:6, pages 2310-2319.
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Articles from other publishers (2)

Ling Ling, Guanghui Li, Xiaoyuan Zhu & Chongqi Zhang. (2022) R-optimal designs for second-order Scheffé model with qualitative factors. AIMS Mathematics 7:3, pages 4540-4551.
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Xiaoyuan ZHU, Honghua HAO, Weixia Lİ & Chongqi ZHANG. (2021) Equivalence theorem of $D$-optimal equal allocation design for multiresponse mixture experiments. Hacettepe Journal of Mathematics and Statistics 50:4, pages 1212-1224.
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