The effects of nonnormality on the analysis of supersaturated designs: a comparison of stepwise, SCAD and permutation test methods

DOI10.1080/00949655.2011.621953zbMath1348.62226OpenAlexW2082421708MaRDI QIDQ4922619

Dong Wang, Woon Yuen Koh, Kent M. Eskridge

Publication date: 3 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.621953

zbMATH Keywords

least squaresnonparametric methodfactor screeningscreening design

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Statistical block designs (62K10)

Cites Work

• Analysis of supersaturated designs via the Dantzig selector
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Data analysis in supersaturated designs.
• A method for screening active effects in supersaturated designs
• A comparison of design and model selection methods for supersaturated experiments
• Bayesian D-optimal supersaturated designs
• A General Method of Constructing E(s2)-Optimal Supersaturated Designs
• Construction of supersaturated designs through partially aliased interactions
• Large supersaturated designs

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