Advanced search
Publication Cover
Communications in Statistics - Simulation and Computation Volume 49, 2020 - Issue 9
Submit an article Journal homepage
243
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Bayesian analysis for dependent competing risks model with masked causes of failure in step-stress accelerated life test under progressive hybrid censoring

Jing CaiCollege of Data Science and Engineering, Guizhou Minzu University, Guiyang, China; ;Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China; Correspondence[email protected]
,
Yimin ShiDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China;
&
Bin LiuDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China; ;School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China
Pages 2302-2320 | Received 24 Jul 2017, Accepted 24 Aug 2018, Published online: 13 Apr 2019

References

  • Balakrishnan, N., and D. Kundu. 2013. Hybrid censoring: Models, inferential results and applications. Computational Statistics & Data Analysis 57 (1):166–209.
  • Chen, M. H., Q. M. Shao, and J. G. Ibrahim. 2000. Monte Carlo methods in Bayesian computation. New York: Springer-Verlag.
  • Craiu, R. V., and B. Reiser. 2006. Inference for the dependent competing risks model with masked causes of failure. Lifetime Data Analysis 12 (1):21–33.
  • Cai, J., Y. Shi, and B. Liu. 2015. Bayesian analysis for Burr-XII masked system in step-stress partially accelerated life test under type-I progressive hybrid censoring. International Journal of Reliability, Quality and Safety Engineering 22 (4):1550018.
  • Cai, J., Y. Shi, and H. Yue. 2017. Accelerated life tests for log-normal series system with dependent masked data under type-I progressive hybrid censoring. Communications in Statistics: Simulation and Computation 46 (2):1628–46.
  • Dimitrova, D. S., S. Haberman, and V. K. Kaishev. 2013. Dependent competing risks: Cause elimination and its impact on survival. Insurance: Mathematics and Economics 53 (2):464–77.
  • Fan, T. H., and W. L. Wang. 2011. Accelerated life tests for Weibull series systems with masked data. IEEE Transactions on Reliability 60 (3):557–69.
  • Fan, T. H., and T. M. Hsu. 2012. Accelerated life tests of a series system with masked interval data under exponential lifetime distributions. IEEE Transactions on Reliability 61:798–808.
  • Gilks, W. R., and P. Wild. 1992. Adaptive rejection sampling for Gibbs sampling. Applied Statistics 41 (2):337–48.
  • Khamis, I. H., and J. J. Higgins. 1998. A new model for step-stress testing. IEEE Transactions on Reliability 47 (2):131–4.
  • Kundu, D. 2008. Bayesian inference and life testing plan for the Weibull distribution in presence of progressive censoring. Technometrics 50 (2):144–54.
  • Kundu, D., and A. Joarder. 2006. Analysis of type-II progressively hybrid censored data. Computational Statistics & Data Analysis 50 (10):2509–28.
  • Lindqvist, B. H., and G. Skogsrud. 2009. Modeling of dependent competing risks by first passage times of wiener processes. IIE Transactions 41 (1):72–80.
  • Xu, A., Y. Tang, and Q. Guan. 2014. Bayesian analysis of masked data in step-stress accelerated life testing. Communications in Statistics: Simulation and Computation 43 (8):2016–30.
  • Xu, A., S. Basu, and Y. Tang. 2014. A full Bayesian approach for masked data in step-stress accelerated life testing. IEEE Transactions on Reliability 63 (3):798–806.
  • Xu, A., and Y. Tang. 2011. Nonparametric Bayesian analysis of competing risks problem with masked data. Communications in Statistics-Theory and Methods 40 (13):2326–36.
  • Xu, A., Y. Tang, and D. Sun. 2015. Objective Bayesian analysis for masked data under symmetric assumption. Statistics and Its Interface 8 (2):227–37.
  • Xu, A., and S. Zhou. 2017. Bayesian analysis of series system with dependent causes of failure. Statistical Theory and Related Fields 1 (1):128–40.
  • Xu, H., and Y. Tang. 2006. Commentary: The Khamis/Higgins model. IEEE Transactions on Reliability 52 (1):4–6. 2003,
  • Wu, M., Y. Shi, and C. Zhang. 2017. Statistical analysis of dependent competing risks model in accelerated life testing under progressively hybrid censoring using copula function. Communications in Statistics: Simulation and Computation 46:1–4017.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.