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

Lanping Li
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引用次数: 5

Abstract

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.
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基于低记录值的对称熵损失函数下Topp-Leone分布的Bayes估计
本文将研究基于较低记录值的Topp-Leone分布参数估计。首先,得到最小方差无偏估计量和最大似然估计量。然后推导了对称损失函数下的贝叶斯估计量,并进一步基于记录样本的边际概率密度和极大似然法得到了经验贝叶斯估计量。最后,讨论了一类一般逆线性估计的可容许性和不可容许性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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