A Bayesian Approach for Selecting the Best Exponential Population with Interval Censored Samples

作者：Yang Ming Chung; Chen Lee Shen^*; Liang Tachen

来源：Communications in Statistics - Theory and Methods, 2014, 43(10-12): 2357-2369.

DOI：10.1080/03610926.2013.818694

• Bayes selection procedure
• Curtailed Bayes selection procedure
• Exponential distribution
• Interval censoring
• Life testing
• 62F07
• 62C10

In this article, we study the problem of selecting the best population from among several exponential populations based on interval censored samples using a Bayesian approach. A Bayes selection procedure and a curtailed Bayes selection procedure are derived. We show that these two Bayes selection procedures are equivalent. A numerical example is provided to illustrate the application of the two selection procedure. We also use Monte Carlo simulation to study performance of the two selection procedures. The numerical results of the simulation study demonstrate that the curtailed Bayes selection procedure has good performance because it can substantially reduce the duration time of life test experiment.

• 出版日期2014-5-15