Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength

被引：64
|
作者：
Rao, G. Srinivasa [1 ]
Aslam, Muhammad [2 ,4 ]
Kundu, Debasis [3 ]
机构：
[1] Univ Dodoma, Dept Stat, Dodoma, Tanzania
[2] Forman Christian Coll Univ, Dept Stat, Lahore, Punjab, Pakistan
[3] Indian Inst Technol, Dept Math & Stat, Kanpur 208016, Uttar Pradesh, India
[4] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21551, Saudi Arabia
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2015年 / 44卷 / 23期
关键词：
Burr-XII distribution; Confidence intervals; ML estimation; Reliability estimation; Stress-strength; ACCEPTANCE SAMPLING PLAN; P(Y-LESS-THAN-X); INFERENCE; SKSP-2;
D O I：
10.1080/03610926.2013.821490
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：
In this paper, we estimate multicomponent stress-strength reliability by assuming Burr-XII distribution. The research methodology adopted here is to estimate the parameter using maximum likelihood estimation. Reliability is estimated using the maximum likelihood method of estimation and results are compared using the Monte Carlo simulation for small samples. Using real data sets we illustrate the procedure clearly.
引用
收藏
页码：4953 / 4961
页数：9
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