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The lomax Bayesian estimation under a logarithm loss function

机译:对数损失函数下的lomax贝叶斯估计

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摘要

In this search; Bayesian analysis of the two parameter Lomax distribution reliability has been considered, and the estimation has been obtained under logarithm loss function for three different prior distributions (Quasi distribution, Exponential distribution and Gamma distribution). they has been made under complete data analyses. The simulation study has been conducted to compare by mean squared error criteria for the performance of the three different estimators of reliability function by 6 assuming experiments for different values of distributions parameters and small, moderate, and big sample sizes. The recorded results showed that the best performance was for the Exponential prior distribution with logarithm loss function.
机译:在这个搜索中;已经考虑了两个参数Lomax分布可靠性的贝叶斯分析,并且在对数损失函数下针对三个不同的先验分布(拟分布,指数分布和伽马分布)获得了估计。它们是在完整的数据分析下得出的。进行了仿真研究,以均方误差标准比较了可靠性函数的三个不同估计量的性能,方法是假设分布参数的不同值以及小样本,中样本和大样本进行了6次实验。记录的结果表明,最佳性能是具有对数损失函数的指数先验分布。

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