Title: Sequential experimentation for mixtures

Authors: Maria L. Weese; Mary G. Leitnaker

Addresses: Department of Decision Sciences and Management Information Systems, Miami University, Oxford, OH 45056, USA. ' Department of Statistics, University of Tennessee, Knoxville, TN 37916, USA

Abstract: We present a sequential method for experimenting with mixtures when the number of mixture components is large and the experimental goal is to gain information on a subset of components for the purpose of mixture product improvement. The model-independent method utilises parameter estimates from the Cox mixture model with a current product formulation from which to begin experimentation. The advantages of our method are the ability to perform experiments using a split-plot like structure and utilise it in a sequential manner on an operating process.

Keywords: Cox mixture model; mixture experiments; mixture process optimisation; model independence; sequential experimentation; mixtures.

DOI: 10.1504/IJEDPO.2012.045613

International Journal of Experimental Design and Process Optimisation, 2012 Vol.3 No.1, pp.33 - 42

Published online: 24 Feb 2012 *

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