Prediction variance of a central composite design with missing observation

DOI10.1080/03610926.2019.1625925OpenAlexW2970614807WikidataQ127778221 ScholiaQ127778221MaRDI QIDQ5078084

Kohei Fujiwara, Shun Matsuura

Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1625925

zbMATH Keywords

missing dataresponse surface methodcentral composite designprediction variancerotatable design

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Robustness to missing observation and optimalities of response surface designs with regular and complex structure

Cites Work

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• Robustness of orthogonal-array based composite designs to missing data
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• Multilevel Augmented Pairs Second-Order Response Surface Designs and Their Robustness to Missing Data
• Spherical Prediction-Variance Properties of Central Composite and Box-Behnken Designs
• Multi-Factor Experimental Designs for Exploring Response Surfaces
• Response Surfaces, Mixtures, and Ridge Analyses
• A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables

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