吉林大学学报(理学版) ›› 2019, Vol. 57 ›› Issue (04): 839-843.

• 数学 • 上一篇    下一篇

加权平衡熵损失函数下Poisson分布参数的Bayes估计

程建华, 毛施云, 王德辉   

  1. 吉林大学 数学学院, 长春 130012
  • 收稿日期:2019-01-31 出版日期:2019-07-26 发布日期:2019-07-11
  • 通讯作者: 毛施云 E-mail:963210290@qq.com

Bayesian Estimation of Parameter of Poisson Distributionunder Weighted Balanced Entropy Loss Function#br#

CHENG Jianhua, MAO Shiyun, WANG Dehui   

  1. College of Mathematics, Jilin University, Changchun 130012, China
  • Received:2019-01-31 Online:2019-07-26 Published:2019-07-11
  • Contact: MAO Shiyun E-mail:963210290@qq.com

摘要: 首先, 基于平衡损失函数的形式, 给出一个加权平衡熵损失函数, 并将其应用到Poisson分布中, 得到了该损失函数下参数的Bayes估计. 其次, 在先验分布为Gamma分布的条件下, 给出估计量的显式表达式, 证明估计量的相合性, 并利用QQ图的方法检验估计量的渐近正态性.

关键词: 加权平衡熵损失函数, Bayes估计, 随机模拟, 相合性, 渐近正态性

Abstract: Firstly, based on the form of the balanced loss function, we gave a  weighted balanced entropy loss function and applied it to the Poisson distribution, and  the Bayesian estimation of the parameter under the  loss function was obtained. Secondly, under the condition that the prior distribution was Gamma distribution, we gave the explicit expression of the estimator, proved  the consistency of the estimator, and tested the asymptotic normality of the estimator by using the QQ plot method.

Key words: weighted balanced entropy loss function, Bayesian estimation, stochastic simulation, consistency, asymptotic normality

中图分类号: 

  • O212.1