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熵损失下负二项分布可靠度的E-Bayes估计
E-Bayesian estimation of the negative binomial distribution reliability under entropy loss function
【摘要】 对负二项分布,给出可靠度在熵损失函数下的Bayes估计,在此基础上给出当先验分布为幂分布时,可靠度的E-Bayes估计和多层Bayes估计,并设计了相应的数值实验,实验结果表明负二项分布可靠度的E-Bayes估计较多层Bayes估计稳健性更好,计算更简单,便于实际应用.
【Abstract】 In this paper,for negative Binomial distribution,the Bayesian estimation of reliability under entropy loss function is given,and on the base,the E-Bayesian estimation and hierarchical Bayesian estimation of θ are given when the prior distribution of θ is power distribution.Finally,the numerical results shows that the E-Bayesian estimation of θ is more robust and easier to calculate than its hierarchical Bayesian estimation,that is,the E-Bayesian estimation of θ is easier to operate.
【关键词】 负二项分布;
熵损失函数;
幂分布;
E-Bayes估计;
多层Bayes估计;
【Key words】 negative Binomial distribution; entropy loss function; power distribution; E-Bayesian estimation; hierarchical Bayesian estimation;
【Key words】 negative Binomial distribution; entropy loss function; power distribution; E-Bayesian estimation; hierarchical Bayesian estimation;
【基金】 湖北省教育厅优秀中青年人才项目(Q200726003)资助;孝感学院科研项目(Z2009002)资助
- 【文献出处】 湖北师范学院学报(自然科学版) ,Journal of Hubei Normal University(Natural Science) , 编辑部邮箱 ,2009年03期
- 【分类号】O212.8
- 【被引频次】3
- 【下载频次】122