A New Algorithm for Extreme Vertices Designs for Linear Mixture Models

Shashank Gupta

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Optimal Experimental Design Methods Advanced Statistical Methods and Models Bayesian Methods and Mixture Models

Abstract

A new algorithm for obtaining extreme vertices designs for linear mixture models is proposed. The algorithm generally produces designs that are as efficient as those produced by the XVERT algorithm of Snee and Marquardt (1974) but with less computational effort. Use of the algorithm in obtaining designs is also described.

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1946THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS 1966Extreme Vertices Design of Mixture Experiments 1974Extreme Vertices Designs for Linear Mixture Models 1968Design and Analysis of Experiments with Mixtures

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2019A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments 1993Design and analysis of mixture systems: Applications in hydroponic, plant nutrition research

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