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About conditional masking probability models

Author

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  • Yu, Qiqing
  • Qin, Hao
  • Wang, Jiaping

Abstract

We study the existing models for right-censored competing risks data and with masked failure cause. By introducing a new random variable hidden behind the current models, we give a practical interpretation of the symmetry assumption made by almost all researchers in this field. We further point out that the drawback of the symmetry assumption is that it has a strong restriction on the underlying distribution function to be studied. Moreover, we correct an assumption in the current models.

Suggested Citation

  • Yu, Qiqing & Qin, Hao & Wang, Jiaping, 2010. "About conditional masking probability models," Statistics & Probability Letters, Elsevier, vol. 80(15-16), pages 1174-1179, August.
    • Handle: RePEc:eee:stapro:v:80:y:2010:i:15-16:p:1174-1179
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    References listed on IDEAS

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    1. Kuo, Lynn & Yang, Tae Young, 2000. "Bayesian reliability modeling for masked system lifetime data," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 229-241, April.
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    Cited by:

    1. Qiqing Yu & Yuting Hsu & Kai Yu, 2014. "A necessary and sufficient condition for justifying non-parametric likelihood with censored data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(8), pages 995-1011, November.
    2. Ebrahimi, Nader & Shehadeh, Mahmoud, 2015. "Assessing the reliability of components with micro- and nano-structures when they are part a multi-scale system," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 13-20.

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