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Reliability estimations of Burr-XII distribution under entropy loss function

机译:熵损失函数下Burr-XII分布的可靠性估计

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摘要

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:在熵损失函数下,使用共轭先验获得最小风险等方估计和E-Bayes估计。我们还证明最小风险等方估计也是最小极大估计。基于蒙特卡洛模拟,进一步比较了估计的MSE。根据这些比较,建议E-Bayes估计的准确性最高

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