Estimation for coefficient of variation of an extension of the exponential distribution under type-II censoring scheme

被引：1
|
作者：
Bakoban, Rana A. [1 ]
机构：
[1] King Abdulaziz Univ, Fac Sci AL Faisaliah, Dept Stat, POB 32691, Jeddah 21438, Saudi Arabia
来源：
OPEN PHYSICS | 2017年 / 15卷 / 01期
关键词：
Coefficient of variation; Extension exponential distribution; Type-II censoring scheme; Bayesian estimation; Bootstrap confidence interval; Maximum likelihood estimation; MCMC; SIMULATION-BASED APPROACH; GAMMA-DISTRIBUTION; WEIBULL; STRENGTH;
D O I：
10.1515/phys-2017-0065
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The coefficient of variation [CV] has several applications in applied statistics. So in this paper, we adopt Bayesian and non-Bayesian approaches for the estimation of CV under type-II censored data from extension exponential distribution [EED]. The point and interval estimate of the CV are obtained for each of the maximum likelihood and parametric bootstrap techniques. Also the Bayesian approach with the help of MCMC method is presented. A real data set is presented and analyzed, hence the obtained results are used to assess the obtained theoretical results.
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页码：566 / 571
页数：6
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