Design of variable resolution for model selection

DOI10.1016/j.jspi.2014.06.001zbMath1307.62072OpenAlexW2047043316MaRDI QIDQ466539

C. Devon Lin, Susanne Morrill

Publication date: 27 October 2014

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.2014.06.001

zbMATH Keywords

Hadamard matrixinteractionorthogonal arrayDantzig selectorgeneralized minimum aberrationBayesian variable selection

Mathematics Subject Classification ID

Bayesian inference (62F15)

Uses Software

• SRRS
• Orthogonal Array

Cites Work

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• Model discrimination - another perspective on model-robust designs
• Analysis of supersaturated designs via the Dantzig selector
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• A comparison of design and model selection methods for supersaturated experiments
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• Doubling and projection: A method of constructing two-level designs of resolution IV
• Detection of Interactions in Experiments on Large Numbers of Factors
• Designs of variable resolution
• Complete enumeration of pure-level and mixed-level orthogonal arrays
• A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing
• A Catalogue of Two-Level and Three-Level Fractional Factorial Designs with Small Runs
• The stepwise response refinement screener (SRRS)