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HIERARCHICAL BAYES APPROACH TO RELIABILITY ANALYSIS FOR THE GEOMETRIC LIFE MODEL

Ram C. Tiwari, Jie Zhang and S. K. Bhattacharya
Brazilian Journal of Probability and Statistics
Vol. 5, No. 2 (NOVEMBER 1991), pp. 149-168
Stable URL: http://www.jstor.org/stable/43601437
Page Count: 20
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
HIERARCHICAL BAYES APPROACH TO RELIABILITY ANALYSIS FOR THE GEOMETRIC LIFE MODEL
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Abstract

In this paper, we discuss the Bayes, parametric empirical Bayes, and hierarchical Bayes approaches to the estimation of the mean life of a geometric life-time model and present the numerical results for the Bayes risks obtained on the basis of a Monte Carlo Simulation study. For purposes of comparison, the Bayes risk of the classical minimum variance unbiased estimator is also presented.

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