复合MLinex对称损失函数下对数伽玛分布参数的Bayes估计  

The Bayesian Estimation of the Parameter for Loggamma Distribution Under Compound MLinex Symmetric Loss Function

作　　者：金秀岩[1] 

机构地区：[1]广东松山职业技术学院基础部,广东韶关512126

出　　处：《数学的实践与认识》2014年第19期257-262,共6页Mathematics in Practice and Theory

摘　　要：在MLineX损失函数的基础上,定义了复合MLineX对称损失函数,并在该损失函数下得到了对数伽玛分布尺度参数的Balye8估计、E-Bayes估计、多层Balyes估计.最后,通过数值模拟说明了所给参数估计的稳健性和精确性.On the basis of Mlinex loss, defined in the essay, which leads to the Composite MLinex asymmetric loss function is Estimation of the logarithm gamma distribution scale parameter of the Bayes, E - Bayes, multi-layer Bayes. Finally, the parameter estimation method is demonstrated to be stable and accurate through analysis of numerical simulation examples.

关 键 词：复合Mlinex对称损失函数 对数伽玛分布 尺度参数 BAYES估计 E-BAYES估计 多层BAYES估计 

分 类 号：O212.8[理学—概率论与数理统计]