ASQ

Exclusive Content & Downloads from ASQ

Robustly Estimating Lower Percentiles When Observations Are Costly

Summary: This article illustrates the effective use of Bayesian methods for the estimation of lower percentiles for the breaking strengths of materials. The method is presented in conjunction with the technique of median censoring, which censors reliability data at a point just slightly larger than the median. As a result, median censoring allows users to safeguard against different failure mechanisms with greater weight placed on the smaller observations when model fitting. Additionally, Bayesian techniques may enable one to use less data from the production line for destructive testing.

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.

  • Topics: Engineering
  • Keywords: Accelerated model, Bayesian methods, Lower percentiles, Median censoring, Medium-density fiberboard, Strengths of materials
  • Author: Young, Timothy M.; Leon, Ramon V.; Chen, Chung-Hao; Chen, Weiwei; Guess, Frank M.; Edwards, David J.:
  • Journal: Quality Engineering