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Reliability estimations of Burr-XII distribution under entropy loss function

机译:熵损耗函数下Burr-XII分布的可靠性估计

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Under the entropy loss function, the minimum risk equivariant estimation and E-Bayes estimation are obtained using conjugate prior. We also prove minimum risk equivariant estimation is also the minimax estimation. The MSE of the estimations are further compared based on Monte Carlo simulation. According to these comparisons, it is suggested that the accuracy of E-Bayes estimation is the highest
机译:在熵损失功能下,使用先前使用缀合物获得最低风险的风险估计和E-Bayes估计。 我们还证明了最低风险的风险等值估计也是最小的估计。 基于蒙特卡罗模拟,进一步比较估计的MSE。 根据这些比较,建议E-Bayes估计的准确性最高

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