BAYESIAN VARIABLE SAMPLING PLANS FOR THE EXPONENTIAL-DISTRIBUTION WITH TYPE-I CENSORING
成果类型：
Article
署名作者：
YEH, L
刊物名称：
ANNALS OF STATISTICS
ISSN/ISSBN：
0090-5364
DOI：
10.1214/aos/1176325491
发表日期：
1994
页码：
696-711
关键词：
摘要：
In this article, a model of single variable sampling plan with type I censoring is studied. Under the assumption that the variable is exponentially distributed and the loss function is a polynomial, an explicit expression of the Bayes risk is derived. Then, a simple and finite algorithm to determine an optimal sampling plan for minimizing the Bayes risk is suggested. Furthermore, a discretization method is proposed so that one can easily obtain an approximately optimal sampling plan.