出版日期：2020-07-17 00:00:00

著者：Lauren Sauer; Yuhlong Lio; Tzong-Ru Tsai

著錄名稱、卷期、頁數：Mathematics 8(7), p.1176

摘要：In this paper, the reliability of a k-component system, in which all components are subject to common stress, is considered. The multicomponent system will continue to survive if at least s out of k components’ strength exceed the common stress. The system reliability is investigated by utilizing the maximum likelihood estimator based on progressively type II censored samples from generalized Pareto distributions. The confidence interval of the system reliability can be obtained by using asymptotic normality with Fisher information matrix or bootstrap method approximation. An intensive simulation study is conducted to evaluate the performance of maximum likelihood estimators of the model parameters and system reliability for a variety of cases. For the confidence interval of the system reliability, simulation results indicate the bootstrap method approximation outperforms over the asymptotic normality approximation in terms of coverage probability.

關鍵字：bootstrap procedure;delta method;maximum likelihood estimation;stress-strength

語言：en

期刊性質：國外

收錄於：SCI Scopus

審稿制度：否

國別：AUS

出版型式：電子版,紙本