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
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。
Abstract:
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.
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