Statistical analysis of generalized exponential distribution under progressive censoring with binomial removals

查看全文 作　　者：Weian [1,2]Yan;Yimin [1]Shi;Baowei [2]Song;Zhaoyong [2]Mao

机构地区：[1]Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an 710072, E R. China;[2]College of Marine Engineering, Northwestern Polytechnical University, Xi'an 710072, E R. China

出　　处：《Journal of Systems Engineering and Electronics》索引2011年第22卷第4期,共8页

基　　金：supported by the National Natural Science Foundation of China(70471057) 摘　　要：The estimation of generalized exponential distribution based on progressive censoring with binomial removals is presented,where the number of units removed at each failure time follows a binomial distribution.Maximum likelihood estimators of the parameters and their confidence intervals are derived.The expected time required to complete the life test under this censoring scheme is investigated.Finally,the numerical examples are given to illustrate some theoretical results by means of Monte-Carlo simulation. 关键词：广义指数分布二项式统计分析清除最大似然估计蒙特卡罗模拟二项分布置信区间

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Statistical analysis of generalized exponential distribution under progressive censoring with binomial removals

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