复合Linex对称损失下Kumaraswamy分布参数的Bayes估计
发布时间:2018-11-16 16:09
【摘要】:当参数的先验分布为伽玛分布时,在复合Linex对称损失函数下得到了Kumaraswamy分布参数θ的唯一的Bayes估计,多层Bayes估计和E-Bayes估计,并通过数值模拟说明了所给参数估计的稳健性和精确性.
[Abstract]:When the prior distribution of parameters is gamma distribution, the unique Bayes estimate, multilayer Bayes estimate and E-Bayes estimate of the parameter 胃 of Kumaraswamy distribution are obtained under the compound Linex symmetric loss function. The robustness and accuracy of the estimated parameters are illustrated by numerical simulation.
【作者单位】: 新疆师范大学数学科学学院;
【分类号】:O212.8
本文编号:2335977
[Abstract]:When the prior distribution of parameters is gamma distribution, the unique Bayes estimate, multilayer Bayes estimate and E-Bayes estimate of the parameter 胃 of Kumaraswamy distribution are obtained under the compound Linex symmetric loss function. The robustness and accuracy of the estimated parameters are illustrated by numerical simulation.
【作者单位】: 新疆师范大学数学科学学院;
【分类号】:O212.8
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,本文编号:2335977
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