对数正态参数估计的损失函数和风险函数的Bayes推断  

Bayes inference of loss-and risk-function in logarithmic normal distribution parameter estimation

作　　者：夏亚峰[1] 马素丽[1] 

机构地区：[1]兰州理工大学理学院,甘肃兰州730050

出　　处：《兰州理工大学学报》2008年第1期131-133,共3页Journal of Lanzhou University of Technology

基　　金：甘肃省教育厅科学基金(0603-07)

摘　　要：方差已知时,给出共轭先验分布为正态分布下,对数正态分布的损失函数和风险函数的Bayes估计,得到其Bayes估计为保守估计的条件.When the variance was known and the conjugate prior distribution was normal, a Bayes estimation of loss-function and risk function of logarithmic normal distribution was given. The conditions of Bayes estimation being conservative one were obtained.

关 键 词：对数正态分布 保守估计 损失函数 风险函数 贝叶斯估计 

分 类 号：O212.8[理学—概率论与数理统计]