Estimation of P(Y < X) for Weibull Distribution Under Progressive Type-II Censoring

被引:34
作者
Valiollahi, R. [1 ]
Asgharzadeh, A. [2 ]
Raqab, Mohammad Z. [3 ]
机构
[1] Univ Semnan, Dept Stat, Semnan, Iran
[2] Univ Mazandaran, Dept Stat, Babol Sar, Iran
[3] Univ Jordan, Dept Math, Amman, Jordan
关键词
P(Y-LESS-THAN-X); PARAMETERS; INFERENCE; LIFE;
D O I
10.1080/03610926.2011.650265
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Based on progressively Type II censored samples, we consider the estimation of R = P(Y < X) when X and Y are two independent Weibull distributions with different shape parameters, but having the same scale parameter. The maximum likelihood estimator, approximate maximum likelihood estimator, and Bayes estimator of R are obtained. Based on the asymptotic distribution of R, the confidence interval of R are obtained. Two bootstrap confidence intervals are also proposed. Analysis of a real data set is given for illustrative purposes. Monte Carlo simulations are also performed to compare the different proposed methods. © 2013 Taylor and Francis Group, LLC.
引用
收藏
页码:4476 / 4498
页数:23
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