General Blending Models for Data From Mixture Experiments

Alexander N. Donev · A. C. Bissett

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

Abstract

We propose a new class of models providing a powerful unification and extension of existing statistical methodology for analysis of data obtained in mixture experiments. These models, which integrate models proposed by Scheffé and Becker, extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomenon requires it, but remain simple whenever possible. This article has supplementary material online.

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1996Response Surface Methodology 2007Design and Analysis of Experiments 2007Optimum Experimental Designs, with SAS 1958Experiments with Mixtures 1984Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data.2002Experiments with Mixtures 1963The Simplex-Centroid Design for Experiments with Mixtures 1952The Design and Analysis of Experiments

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