逐次定数截尾尾下Rayleigh分布的贝叶叶斯分析  

Bayesian Analysis of Rayleigh Distribution under Progressive Type-II Censoring

作　　者：李琼[1] 武东[2] LI Qiong;WU Dong(Department of Electronic Information, Huishang Vocational College, Hefei 231201, Anhui, China;School of Science, Anhui Agricultural University, Hefei 230036, Anhui, China)

机构地区：[1]徽商职业学院电子信息系,合肥231201 [2]安徽农业大学理学院,合肥230036

出　　处：《上海第二工业大学学报》2019年第2期114-117,共4页Journal of Shanghai Polytechnic University

基　　金：安徽高校自然科学研究重点项目(KJ2017A892);安徽省高校优秀青年人才支持计划(gxyq2019254)资助

摘　　要：在平方损失函数、熵损失函数和对称熵损失函数下,对基于逐次定数截尾样本的Rayleigh分布进行了贝叶斯(Bayes)统计分析。最后,利用蒙特卡洛方法进行比较,得出在熵损失函数下的Bayes估计较优。Bayesian (Bayes) analysis of Rayleigh distribution with progressively Type-II censored samples under squared loss functions, entropy loss function and symmetric entropy loss function was proposed. Finally, through Monte Carlo simulation, it demonstrates the Bayes estimation under entropy loss fuction is better.

关 键 词：逐次定数截尾 RAYLEIGH分布 贝叶斯估计 损失函数 

分 类 号：O213.2[理学—概率论与数理统计]