ASQ

Exclusive Content & Downloads from ASQ

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.

Anyone with a subscription, including Site and Enterprise members, can access this article.


Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

Subscribe to Journal of Quality Technology

Access this and ALL OTHER Journal of Quality Technology online articles. You'll also receive the print version by mail.

  • 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