自适应II型逐步截尾双应力恒加试验统计分析

Translated title of the contribution: Statistical analysis of double stress accelerated life testing under adaptive type-II progressive censoring

Tianle Yang, Huacong Li, Jiangfeng Fu

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the traditional accelerated life test only considering the single stress and single failure cause, the inference method of double stress accelerated competing risks data is studied under the adaptive type-II progressively censored and the life of test units follow Weibull distribution. The maximum likelihood estimations and the asymptotic confidence intervals of unknown parameters are obtained by using the Newton-Raphson iteration and asymptotic likelihood theory. A Gibbs sampling combining with Metropolis-Hasting algorithm method is developed to obtain Bayes estimations, and the Monte Carlo method is employed to construct the HPD credible intervals. The simulated results show that the present method has good statistical inference performance, meanwhile the failure sample size and the expected experimentation time have significant effect on the estimations.

Translated title of the contributionStatistical analysis of double stress accelerated life testing under adaptive type-II progressive censoring
Original languageChinese (Traditional)
Pages (from-to)487-497
Number of pages11
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume42
Issue number3
DOIs
StatePublished - Jun 2024

Fingerprint

Dive into the research topics of 'Statistical analysis of double stress accelerated life testing under adaptive type-II progressive censoring'. Together they form a unique fingerprint.

Cite this