Model discrimination - another perspective on model-robust designs

DOI10.1016/j.jspi.2006.09.006zbMath1110.62103OpenAlexW2088282096MaRDI QIDQ880257

Christopher J. Nachtsheim, William Li, Kenny Q. Ye, Bradley A. Jones

Publication date: 15 May 2007

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2006.09.006

zbMATH Keywords

model discriminationinformation capacitymodel-robust designestimation capacity

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Factorial statistical designs (62K15) Robust parameter designs (62K25)

Related Items (6)

Design of variable resolution for model selection ⋮ Folded over non-orthogonal designs ⋮ Model-robust supersaturated and partially supersaturated designs ⋮ Model Discrimination Criteria on Model-Robust Designs ⋮ A comparison of three approaches for constructing robust experimental designs ⋮ Screening designs for model discrimination

Cites Work

• Geometric isomorphism and minimum aberration for factorial designs with quantitative factors
• Minimum Aberration 2 k-p Designs
• Model Robust, Linear-Optimal Designs
• The design of experiments for discriminating between two rival models
• A Review of Experimental Design Procedures for Regression Model Discrimination
• Follow-Up Designs to Resolve Confounding in Multifactor Experiments
• Using the Folded-Over 12-Run Plackett—Burman Design to Consider Interactions
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