BAYESIAN INFERENCE FOR A SIMPLE STEP-STRESS ACCELERATED DEPENDENT COMPETING FAILURE MODEL

被引：0
|
作者：
Wang, Ying [1 ]
Yan, Zai-Zai [1 ]
机构：
[1] Inner Mongolia Univ Technol, Sci Coll, Hohhot, Peoples R China
来源：
THERMAL SCIENCE | 2023年 / 27卷 / 3A期
基金：
中国国家自然科学基金;
关键词：
step-stress accelerated life test; dependent competing risk model; cumulative exposure model; bivariate clayton copula; Bayesian estimations; EXPONENTIAL-DISTRIBUTION; RISKS;
D O I：
10.2298/TSCI2303091W
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The Copula approach can be used to describe the dependence structure between variables. In this paper, by using a Bivariate Clayton copula, we discuss the sta- tistical analysis of a simple step-stress accelerated dependent competing failure model under progressively Type-II censoring sample. With the assumption of cu- mulative exposure, the Bayesian estimations of the model parameters are de- rived. Based on Monte-Carlo simulation, the precision of the estimates is as- sessed. Finally, the statistical analysis of an actual data set of a solar lighting in- sulation system has been presented for illustrative purposes.
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页码：2091 / 2098
页数：8
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