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Efficient Bayesian sampling plans for exponential distributions with type-Ⅰ-censored samples

机译:Ⅰ型删失样本的指数分布的有效贝叶斯抽样方案

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摘要

The aim of this paper is to introduce an efficient Bayesian sampling procedure for exponential distribution with type-Ⅰ censoring. An online inspection method is suggested to reach a Bayes decision prior the termination time of life test. Bayesian sampling plans (BSPs) with quadratic loss function are established to illustrate the use of the proposed method. Some BSPs are tabulated, and the performance of the proposed BSPs is compared with two existing competitive methods. Numerical results indicate that a significant reduction in the experimental time over the conventional BSP can be achieved when the online inspection method is applied.
机译:本文的目的是介绍一种有效的贝叶斯抽样程序,该程序采用Ⅰ型删失。建议使用在线检查方法在寿命测试终止之前做出Bayes决定。建立具有二次损失函数的贝叶斯抽样计划(BSP),以说明所提出方法的使用。列出了一些BSP,并将拟议BSP的性能与两种现有竞争方法进行了比较。数值结果表明,当采用在线检查方法时,与传统的BSP相比,实验时间可以大大减少。

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