随机截尾数据下Burr Ⅻ分布参数的Bayes估计  

Bayes estimation of Burr Ⅻ distribution parameter under randomly censored data

作　　者：季海波[1] JI Haibo(School of Liberal and Science,Suqian College,Suqian 223800,China)

机构地区：[1]宿迁学院文理学院,江苏宿迁223800

出　　处：《高师理科学刊》2022年第7期1-3,共3页Journal of Science of Teachers＇College and University

基　　金：江苏省宿迁市科技计划项目(Z2020135)。

摘　　要：在随机截尾试验下,研究Burr Ⅻ分布未知参数θ的Bayes估计问题.在LINEX损失和复合LINEX对称损失下,得到了未知参数θ的Bayes估计的精确表达式,并且运用Monte-Carlo模拟法对各个估计进行了比较.Based on the random censoring test,the Bayes estimator of unknown parameter θ of Burr Ⅻ distribution is studied.The exact expression of the Bayes estimator of unknown parameter θ was obtained under LINEX and compound LINEX symmetric loss functions,and the estimations was compared by means of Monte-Carlo simulation.

关 键 词：BurrⅫ分布 损失函数 BAYES估计 随机截尾 

分 类 号：O212.8[理学—概率论与数理统计]