广义逐步增加定数截尾下Lindley分布的Bayes估计  

Bayesian Estimation of Lindley Distribution under General 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,China;School of Information and Artificial Intelligence,Anhui Agricultural University,Hefei 230036,China)

机构地区：[1]徽商职业学院电子信息系,合肥231201 [2]安徽农业大学信息与人工智能学院,合肥230036

出　　处：《上海第二工业大学学报》2023年第4期359-363,共5页Journal of Shanghai Polytechnic University

基　　金：安徽省高校自然科学研究重点项目(2023AH053108);安徽省质量工程项目(2022zygzsj056);安徽省高校优秀青年人才支持计划(gxyq2019254)资助。

摘　　要：对基于广义逐步增加定数截尾样本的Lindley分布寿命产品进行了贝叶斯统计分析,并利用Monte Carlo方法获得3种损失函数下分布参数的近似Bayes估计。最后,通过模拟实例表明Bayes估计是有效的。Bayesian analysis of Lindley distribution with general progressive Type-Ⅱ censored sample is proposed.Approximate Bayes estimation of distribution parameters under three loss function was proposed using Monte Carlo integration.The Bayes estimation is demonstrated to be effective by simulation example.

关 键 词：广义逐步增加定数截尾 Lindley分布 BAYES估计 

分 类 号：O213.2[理学—概率论与数理统计]