A mean squared error criterion for the design of experiments

DOI10.1093/biomet/70.1.205zbMath0517.62066OpenAlexW1974689592MaRDI QIDQ3666076

William J. Welch

Publication date: 1983

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/70.1.205

zbMATH Keywords

computer-aided designresponse surface estimationcomputer algorithmsmean squared error criterion

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (13)

Comparison of designs for generalized linear models under model misspecification ⋮ Admissible minimum bias estimation of response surfaces ⋮ Model-robust designs for split-plot experiments ⋮ Unnamed Item ⋮ Model-robust and model-sensitive designs ⋮ Response surface design evaluation and comparison ⋮ Discussion of ``Response surface design evaluation and comparison by C. M. Anderson-Cook, C. M. Borror, and D. C. Montgomery ⋮ Orthogonal-column Latin hypercube designs with small samples ⋮ Minimax designs for linear regression models with bias in a reproducing kernel Hilbert space in a discrete set ⋮ A note on all-bias designs with applications in spline regression models ⋮ Pitfalls of using a single criterion for selecting experimental designs ⋮ Treating bias as variance for experimental design purposes ⋮ Experimental design for estimating the optimum point in a response surface

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