Jittering and clustering: strategies for the construction of robust designs

DOI10.1007/S11222-024-10436-2zbMATH Open1542.62029MaRDI QIDQ6581659

Douglas P. Wiens

Publication date: 31 July 2024

Published in: Statistics and Computing (Search for Journal in Brave)

zbMATH Keywords

tessellationminimaxrobustnessrandom designVoronoicentral composite designdeterministic design

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Robustness and adaptive procedures (parametric inference) (62F35)

Cites Work

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• Robust minimax designs for multiple linear regression
• Minimax designs for approximately linear regression
• I-robust and D-robust designs on a finite design space
• Restricted minimax robust designs for misspecified regression models
• Techniques for the construction of robust regression designs
• Applications and Implementations of Continuous Robust Designs
• Integer-Valued, Minimax Robust Designs for Estimation and Extrapolation in Heteroscedastic, Approximately Linear Models
• for misspecified regression models
• A Basis for the Selection of a Response Surface Design
• Minimax Efficient Random Experimental Design Strategies With Application to Model-Robust Design for Prediction

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