Selection of Two-Level Supersaturated Designs for Main Effects Models

DOI10.1080/00401706.2022.2102080MaRDI QIDQ6631115

Rakhi Singh, John Stufken

Publication date: 31 October 2024

Published in: Technometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Supersaturated designs: a review of their construction and analysis
• A hybrid elitist Pareto-based coordinate exchange algorithm for constructing multi-criteria optimal experimental designs
• Model-robust supersaturated and partially supersaturated designs
• Analysis of supersaturated designs via the Dantzig selector
• \(E(s^2)\)- and \(UE(s^2)\)-optimal supersaturated designs
• Construction of \(E(s^2)\)-optimal supersaturated designs
• A measurement of multi-factor orthogonality
• 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
• A General Method of Constructing E(s2)-Optimal Supersaturated Designs
• An Algorithmic Approach to Constructing Supersaturated Designs
• Decoding by Linear Programming
• Some Systematic Supersaturated Designs
• A method for constructing supersaturated designs and its Es² optimality
• Model selection consistency of Dantzig selector
• Optimal Supersaturated Designs
• Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs
• Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs

Related Items (1)

Factor selection in screening experiments by aggregation over random models

This page was built for publication: Selection of Two-Level Supersaturated Designs for Main Effects Models