Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (11): 2644-2653.doi: 10.3969/j.issn.1001-506X.2020.11.29

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Statistical analysis of the dependent competing risks model under the double constant-stress accelerated life test

Yan WANG1,2(), Yimin SHI1()   

  1. 1. School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, China
    2. School of Science, Xi'an Polytechnic University, Xi'an 710048, China
  • Received:2020-03-25 Online:2020-11-01 Published:2020-11-05

Abstract:

To solve problem that traditional accelerated life test only considers a single stress and assumes the competing risks indenpendce, firstly, the double constant-stress accelerated life test under adaptive Type-Ⅱ progressively hybrid censored scheme (AT-Ⅱ PHCS) is established. Secondly, the Marshall-Olkin bivariate Gompertz (MOBG) distribution is used to construct the dependence of the competing risks. Based on the dependent competing data under AT-Ⅱ PHCS double-stress accelerated life test, the maximum likelihood estimation (MLE) of the unknown parameters is obtained. The asymptotic likelihood theory and the Bootstrap sampling method are used to construct the confidence interval (CI) of the unknown parameters. Finally, an example is used to verify the constructed dependent competing risks model, and the results show that it has good statistical inference performance.

Key words: double constant-stress accelerated life test, dependent competing risks model, Marshall-Olkin bivariate Gompertz (MOBG) distribution, maximum likelihood estimation (MLE), Bootstrap method

CLC Number: 

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