Estimation of Stress-Strength Reliability Based on Ranked Set Sampling for Generalized Exponential Distribution

被引：10
|
作者：
Esemen, Melek [1 ]
Curler, Selma [2 ]
Sevinc, Busra [1 ]
机构：
[1] Dokuz Eylul Univ, Grad Sch Nat & Appl Sci, Tinaztepe Campus, TR-35160 Izmir, Turkey
[2] Dokuz Eylul Univ, Dept Stat, Tinaztepe Campus, TR-35160 Izmir, Turkey
来源：
INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING | 2021年 / 28卷 / 02期
关键词：
Bayesian estimation; maximum likelihood estimation; stress-strength reliability; generalized exponential; ranked set sampling; LESS-THAN X); UNBIASED ESTIMATION; WEIBULL; MODEL;
D O I：
10.1142/S021853932150011X
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we consider the estimation of the reliability in a stress-strength model by the maximum likelihood and Bayesian methods under generalized exponential distribution. We provide the estimation of the reliability with simple random sampling and ranked set sampling methods. Lindley's algorithm is used to obtain the approximate Bayesian estimation of the reliability with gamma priors. The results are compared in terms of relative efficiency in different sample sizes through a simulation study with R-software. Finally, two real data examples are presented to estimate reliability.
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页数：24
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