Inference for Constant-Stress Accelerated Life Tests With Dependent Competing Risks From Bivariate Birnbaum–Saunders Distribution Based on Adaptive Progressively Hybrid Censoring

@article{Zhang2017InferenceFC,
  title={Inference for Constant-Stress Accelerated Life Tests With Dependent Competing Risks From Bivariate Birnbaum–Saunders Distribution Based on Adaptive Progressively Hybrid Censoring},
  author={Chunfang Zhang and Yimin Shi and Xuchao Bai and Qianrao Fu},
  journal={IEEE Transactions on Reliability},
  year={2017},
  volume={66},
  pages={111-122}
}
In life testing, the competing risks model is usually discussed under the assumption of independence. In this paper, we consider a dependent competing risks model using bivariate Birnbaum–Saunders distribution in constant-stress accelerated life testing. To observe expected failure times and terminate the life tests around a predetermined time, the adaptive progressively hybrid censoring scheme is adopted. Based on the accelerated competing risks model with the adaptive progressively hybrid… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 27 REFERENCES

and A

D. Kundu, N. Balakrishnan
  • Jamalizadeh, “Bivariate Birnbaum– Saunders distribution and associated inference,” J. Multivariate Anal., vol. 101, no. 1, pp. 113–125
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

and N

I. Basak
  • Balakrishnan, “Predictors of failure times of censored units in progressively censored samples from normal distribution,” Sankhy: Indian J. Statist. B, vol. 17, pp. 222–247
  • 2009
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

and M

C. Zhang, Y. Shi
  • Wu, “Statistical inference for competing risks model in step-stress partially accelerated life tests with progressively type- I hybrid censored Weibull life data,” J. Comput. Appl. Math., vol. 297, pp. 65–74
  • 2016
VIEW 2 EXCERPTS

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