BAYESIAN ESTIMATION FOR THE LINDLEY DISTRIBUTION UNDER PROGRESSIVE TYPE-II CENSORING WITH BINOMIAL REMOVALS

被引：0
|
作者：
Kishan, Ram [1 ]
Kumar, Jitendra [2 ]
机构：
[1] Dept Stat DAV PG Coll, Muzaffarnagar 251001, India
[2] Planning Dept, Directorate Econ & Stat, Delhi 110054, India
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2019年 / 15卷 / 01期
关键词：
Progressive Type-II censoring scheme; Maximum Likelihood Estimator; Bayes Estimate; Squared Error Loss Function; MCMC method;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
In this paper, we consider the estimation procedures of parameters, survival function, probability density function and hazard function of Lindley distribution under progressive Type-II censoring scheme with binomial removals. We obtain maximum likelihood estimates for parametric function and their confidence interval using delta method. The Bayes estimates of the same parametric functions are also evaluated using MCMC method under squared error loss function. Finally, some numerical illustrations are given using simulated and real data with given different binomial probability.
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页码：361 / 369
页数：9
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