Statistical Analysis for Constant-Stress Accelerated Life Test With Weibull Distribution Under Adaptive Type-II Hybrid Censored Data

被引：5
|
作者：
Cui, Wei [1 ]
Yan, Zaizai [1 ]
Peng, Xiuyun [1 ]
机构：
[1] Inner Mongolia Univ Technol, Coll Sci, Hohhot 010051, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
基金：
中国国家自然科学基金;
关键词：
Constant-stress accelerated life test; Weibull distribution; adaptive type-II progressively hybrid censoring; Markov chain Monte Carlo method;
D O I：
10.1109/ACCESS.2019.2950699
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we discuss the point and interval estimates of the parameters from Weibull distribution based on adaptive Type-II progressively hybrid censored data in constant-stress accelerated life test using maximum likelihood estimation (MLE) methods and Bayesian estimation (BE). The Bayes estimates cannot be obtained in explicit form. A hybrid Markov chain Monte Carlo method is applied to compute the approximate Bayes estimates and the corresponding credible intervals. Moreover, the Monte Carlo simulation is performed to compare the performance of the proposed methods. Finally, an actual data set is analyzed for illustrative purposes.
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页码：165336 / 165344
页数：9
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