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Bayesian estimation of mixed weibull exponential in life testing

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  • S. K. Ashour

Abstract

This paper deals with estimating the parameters of a mixed Weibull exponential model using a Bayesian method for type I censored samples. A numerical comparison between maximum likelihood and Bayes results has been carried out, using a numerical example and computer facilities for different prior information. Bayesian results in the cases of mixed exponential (complete and censored), single exponential and single Weibull may be consider as special cases of the results of this paper. The problem can be extended to the case of more than two causes of failure.

Suggested Citation

  • S. K. Ashour, 1987. "Bayesian estimation of mixed weibull exponential in life testing," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 3(1), pages 51-57.
    • Handle: RePEc:wly:apsmda:v:3:y:1987:i:1:p:51-57
    DOI: 10.1002/asm.3150030106
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    Cited by:

    1. Tian, Yuzhu & Zhu, Qianqian & Tian, Maozai, 2015. "Estimation for mixed exponential distributions under type-II progressively hybrid censored samples," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 85-96.

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