Algorithmic construction of R-optimal designs for second-order response surface models

Author:

Liu Xin,Yue Rong-XianORCID,Xu Jing,Chatterjee Kashinath

Funder

NSFC

E-Institutes of Shanghai Municipal Education Commission

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference25 articles.

1. Response surface design evaluation and comparison;Anderson-Cook;J. Statist. Plann. Inference,2009

2. Denisov, V.I., Popov, A.A., 1976. A-, E-optimal and orthogonal designs of experiments for polynomial models. Preprint. Scientific Council on a Complex Problem “Cybernetic”, Academy of Science (in Russian). Moscow, Russia.

3. Designing experiments with respect to “standardized” optimality criteria;Dette;J. R. Stat. Soc. Ser. B Stat. Methodol.,1997

4. E-optimal designs for second-order response surface models;Dette;Ann. Statist.,2014

5. Kiefer ordering of simplex designs for second degree mixture models with four or more ingredients;Draper;Ann. Statist.,2000

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3. R-Optimal Designs for Canonical Polynomial Models with Mixture Experiments;Calcutta Statistical Association Bulletin;2021-10-25

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