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Accounting for Mixture Errors in Analyzing Mixture Experiments

Summary: [This abstract is based on the authors' abstract.]Mixture errors that cause mixture proportions to differ from those intended have not previously been considered in the analysis of mixture experiments. It is shown that a Bayesian approach can be used to account for these errors. A semi-realistic glass mixture experiment illustrates the benefits of identifying these errors and the problems encountered when they are ignored.

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  • Topics: Design of Experiments
  • Keywords: Bayesian methods,Mixture experiments,Error,Markov chains,Monte Carlo methods,Variability
  • Author: Hamada, M.; Martz, H.F.; Steiner, S.
  • Journal: Journal of Quality Technology