定数双截尾样本下k/N(G)系统可靠性指标的经验Bayes估计

Empirical Bayes Estimation of the Reliability Performances for k/N(G) System Based on Type Ⅱ Doubly Censored Samples

在定数双截尾样本下,研究了不可修k/N(G)系统可靠性指标的估计问题.将Bayes方法和极大似然法相结合获得了部件失效率、系统可靠度和平均寿命的经验Bayes估计.最后给出随机模拟例子,说明了本文方法的正确性.

Based on type Ⅱ doubly censored samples, the problems of estimating the reliability performances for k/N（G） system are studied by using Bayes and MLE approaches. Under squared-error loss, the formulae to calculate empirical Bayes estimation of the failure rate, the reliability function and mean lifetime are given. Finally, an illustrative numerical example is examined by means of the Monte-Carlo simulation.