Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs

DOI10.1080/00401706.2020.1850529MaRDI QIDQ6631901

Byran J. Smucker, David Edwards, Maria L. Weese, Jonathan W. Stallrich

Publication date: 1 November 2024

Published in: Technometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Supersaturated designs: a review of their construction and analysis
• Model-robust supersaturated and partially supersaturated designs
• Analysis of supersaturated designs via the Dantzig selector
• Augmenting supersaturated designs with Bayesian \(D\)-optimality
• Supersaturated designs robust to two-factor interactions
• A comparison of design and model selection methods for supersaturated experiments
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Bayesian D-optimal supersaturated designs
• Some Systematic Supersaturated Designs
• Construction of supersaturated designs through partially aliased interactions
• Optimal Supersaturated Designs
• Sure independence screening for analyzing supersaturated designs
• Controlling Variable Selection by the Addition of Pseudovariables
• Screening
• Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs

Related Items (2)

Factor selection in screening experiments by aggregation over random models ⋮ Selection of Two-Level Supersaturated Designs for Main Effects Models

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