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金秀岩. 复合Mlinex对称损失函数下对数伽玛分布参数的Bayes估计[J]. 数学的实践与认知, 2014, 44(19): 257-262.

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• 标题: 逐次截尾下BurrXII分布形状参数和失效率的Bayes估计Bayesian Estimation of Shape Parameter and Failure Rate from Burrxii Distribution under Progressive Type-Ii Censored Data

  作者: 余慧敏, 李乃医

  关键字: 复合Mlinex对称损失, Bayes估计, BurrXII分布, 容许性Composite Mlinex Loss, Bayesian Estimation, Burrxii Distribution, Admissibility

  期刊名称: 《Pure Mathematics》, Vol.6 No.4, 2016-07-27

  摘要: 基于逐次截尾数据，在复合Mlinex对称损失下，研究BurrXII分布形状参数和失效率的Bayes估计，并证明了其容许性。 In this paper, we discuss the Bayesian estimation of the shape parameter and the failure rate from BurrXII distribution, under composite Mlinex loss function and progressive type-II censoring samples, we got the general expression and exact expression of the Bayesian estimation, and we also proved that the Bayesian estimation was admissible.