Efficient maximin distance designs for experiments in mixtures

DOI10.1080/02664763.2012.697131OpenAlexW2158103991MaRDI QIDQ5127056

Niel J. le Roux, R. F. Rossouw, R. L. J. Coetzer

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.697131

zbMATH Keywords

Kullback-Leibler informationcomputer experimentscompositional datadissimilarity measuresmaximin designs

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• TOMS659

Cites Work

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• Metric and Euclidean properties of dissimilarity coefficients
• The design and analysis of computer experiments.
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear-Regression Models
• Algorithm 659
• Time- and Space-Saving Computer Methods, Related to Mitchell's DETMAX, for Finding D-Optimum Designs
• A Comparison of Algorithms for Constructing Exact D-Optimal Designs
• Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria
• An Algorithm for the Construction of "D-Optimal" Experimental Designs
• Computer Construction of "D-Optimal" First-Order Designs
• Extreme Vertices Designs for Linear Mixture Models
• A new criterion based on Kullback-Leibler information for space filling designs
• On criteria for measures of compositional difference

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