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Bayes Estimation of Topp-Leone Distribution Under Symmetric Entropy Loss Function Based on Lower Record Values

机译:基于较低记录值的对称熵损失函数下Topp-Leone分布的贝叶斯估计

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This paper will study the estimation of parameter of Topp-Leone distribution based on lower record values. First, the minimum variance unbiased estimator and maximum likelihood estimator are obtained. Then the Bayes estimator is derived under symmetric loss function and further the empirical Bayes estimators is also obtained based on marginal probability density of record sample and maximum likelihood method. Finally, the admissibility and inadmissibility of a generally class of inverse linear estimators are also discussed.
机译:本文将研究基于较低记录值的Topp-Leone分布参数的估计。首先,获得最小方差无偏估计器和最大似然估计器。然后根据对称损失函数导出贝叶斯估计量,并基于记录样本的边际概率密度和最大似然法,获得经验贝叶斯估计量。最后,还讨论了一般一类逆线性估计量的可容许性和不可容许性。

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