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On Bayesian Analysis of Burr Type Ⅶ Distribution under Different Censoring Schemes

机译:不同删失方案下毛刺Type分布的贝叶斯分析

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摘要

This paper includes the Bayesian analysis of Burr type Ⅶ distribution. Three censoring schemes, namely, left censoring, singly type Ⅱ censoring, and doubly type Ⅱ censoring have been used for posterior estimation. The results of different censoring schemes have been compared with those under complete samples. The comparative study among the performance of different censoring schemes has also been made. Two noninformative (uniform and Jeffreys) priors have been assumed to derive the posterior distributions under each case. The performance of Bayes estimators has been compared in terms of posterior risks under a simulation study.
机译:本文包括伯尔type分布的贝叶斯分析。后验估计使用了三种检查方案,即左检查,单Ⅱ型检查和双Ⅱ型检查。将不同检查方案的结果与完整样本下的结果进行了比较。还对不同审查方案的性能进行了比较研究。假设两个非信息先验(一致和Jeffreys)先验在每种情况下得出后验分布。在模拟研究中,根据后验风险比较了贝叶斯估计量的性能。

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