Statistical inference on accelerated life testing with dependent competing failure model under progressively type‐II censored data based on copula theory

2020 ◽  
Author(s):  
Ying Wang ◽  
Zaizai Yan
Keyword(s):  
Statistical Inference ◽  
Censored Data ◽  
Accelerated Life Testing ◽  
Type Ii ◽  
Failure Model ◽  
Life Testing ◽  
Copula Theory ◽  
Accelerated Life ◽  
Type Ii Censored Data

Statistical Inference of Accelerated Life Testing With Dependent Competing Failures Based on Copula Theory

2014 ◽  
Vol 63 (3) ◽  
pp. 764-780 ◽  
Author(s):  
Xiang Po Zhang ◽  
Jian Zhong Shang ◽  
Xun Chen ◽  
Chun Hua Zhang ◽  
Ya Shun Wang
Keyword(s):  
Statistical Inference ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Copula Theory ◽  
Accelerated Life

scholarly journals Bayesian analysis of a constant-stress accelerated life testing with thermal aging life model under general progressive type-II censored data

2019 ◽  
Vol 23 (4) ◽  
pp. 2509-2516 ◽  
Author(s):  
Wei Cui ◽  
Xiu-Yun Peng ◽  
Zai-Zai Yan
Keyword(s):  
Thermal Aging ◽  
Accelerated Life Testing ◽  
Constant Stress ◽  
Accelerated Life Test ◽  
Type Ii ◽  
Accelerated Life ◽  
Progressive Type ◽  
Life Model ◽  
Type Ii Censored Data ◽  
Log Normal

This paper discusses the parameter estimation by Bayesian method when the thermal aging lifetime follows the log-normal distribution and the sample is a general progressive type-II censoring from a constant-stress accelerated life test. The Bayes estimates cannot be obtained in an inexplicit form, and an approximate one is solved by the hybrid Markov chain Monte-Carlo method. The thermal aging life data are presented to illustrate proposed method.

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