Bayesian and non-bayesian estimation of stress strength model for Pareto type I distribution

被引：0
|
作者：
Shawky, A. I. [1 ]
Al-Gashgari, F. H.
机构：
[1] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21589, Saudi Arabia
来源：
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A-SCIENCE | 2013年 / 37卷 / A3期
关键词：
Bayesian estimator; Maximum likelihood estimator (MLE); Pareto of first kind; uniformly minimum variance unbiased estimator (UMVUE); stress strength model; LESS-THAN X); RELIABILITY ESTIMATION; BURR; P(Y-LESS-THAN-X);
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This article examines statistical inference for R = P(Y < X) where X and Y are independent but not identically distributed Pareto of the first kind (Pareto (I)) random variables with same scale,parameter but different shape parameters. The Maximum likelihood, uniformly minimum variance unbiased and Bayes estimators with Gamma prior are used for this purpose. Simulation studies which compare the estimators are presented. Moreover, sensitivity of Bayes estimator to the prior parameters is considered.
引用
收藏
页码：335 / 342
页数：8
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