Recently, many researchers apply the non-parametric Bayesian approach
to predict the reliability of highly complex electronic systems. The D
irichlet process is the most common model for the non-parametric Bayes
ian analysis. The Kuo's simulation procedure [6] for Dirichlet process
under a variance reduction techniques introduced in Chien and Kuo (19
94) [2] is applied for a Weibull-distributed system. Optimal burn-in t
ime is determined given the cost parameters. A model, the percentage o
f good items in a lot, is used to explain when the Dirichlet process i
s not a proper choice.