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Proof of Han's hypothesis on relations among two-sided M-Bayesian credible limits and corresponding two-sided classical confidence limits

机译:Han关于两边M-贝叶斯可信范围与相应两边经典置信范围之间关系的假设的证明

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摘要

This paper studies the interval estimation problem of reliability parameters of binomial distribution, in the case of zero-failure data, using the method of two-sided M-Bayesian credible limit. It proves the hypothesis that was provided by Han [1]: two-sided M-Bayesian credible limits is superior to the corresponding two-sided classical confidence limits when estimation reliability derived from binomial distribution in the case of zero-failure data.
机译:本文采用双向M-贝叶斯可信极限方法,研究了零故障数据情况下二项式分布可靠性参数的区间估计问题。它证明了Han [1]提出的假设:在零失效数据的情况下,从二项式分布推算可靠性时,双面M-贝叶斯可信极限优于相应的双面经典置信极限。

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