ASQ

Exclusive Content & Downloads from ASQ

Model and Distribution-Robust Process Optimization with Noise Factors

Summary: [This abstract is based on the authors' abstract.]The recently proposed idea of model form-robustness using a Bayesian predictive approach is extended to cases where there is uncertainty due to noise factors and to the distributional assumptions of the errors. Two examples from the literature, one based on a factorial experiment and another on a mixture experiment, illustrate the proposed approach.

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:
  • Keywords: Bayesian methods,Noise,Optimization,Parameter design,Response surface methodology (RSM),Robust design
  • Author: Rajagopal, Ramkumar; Del Castillo, Enrique; Peterson, John J.
  • Journal: Journal of Quality Technology