Augmenting supersaturated designs with Bayesian \(D\)-optimality

DOI10.1016/j.csda.2013.09.009zbMath1471.62084OpenAlexW2029140135MaRDI QIDQ1621401

Edward D. White, Dennis K. J. Lin, Alex J. Gutman, Raymond R. Hill

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.09.009

zbMATH Keywords

augmentationexperimental designscreening designssupersaturated designsadding runscomputer-generated designs

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Factorial statistical designs (62K15)

Related Items

Special issue on algorithms for design of experiments, A method for augmenting supersaturated designs

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