Title : ( Estimation of stress-strength reliability using record ranked set sampling scheme from the exponential distribution )
Authors: Seyed Mahdi Salehi , Jafar Ahmadi ,
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Abstract
In this paper, point and interval estimation of stress-strength reliability based on upper record ranked set sampling (RRSS) from one-parameter exponential distribution are considered. Maximum likelihood estimator (MLE) as well as the uniformly minimum variance unbiased estimator (UMVUE) of stress-strength parameter are derived and their performance are studied. Also, some confidence intervals for stress-strength reliability based on upper RRSS are constructed and then compared on the basis of a simulation study. Finally, a data set has been analyzed for illustrative purposes.
Keywords
, Stress-Strength, Record ranked set sampling, MLE, UMVUE, Bootstrap confidence interval
@article{paperid:1040661,
author = {Salehi, Seyed Mahdi and Ahmadi, Jafar},
title = {Estimation of stress-strength reliability using record ranked set sampling scheme from the exponential distribution},
journal = {Filomat},
year = {2015},
volume = {29},
number = {5},
month = {May},
issn = {0354-5180},
pages = {1149--1162},
numpages = {13},
keywords = {Stress-Strength; Record ranked set sampling; MLE; UMVUE; Bootstrap confidence interval},
}
%0 Journal Article
%T Estimation of stress-strength reliability using record ranked set sampling scheme from the exponential distribution
%A Salehi, Seyed Mahdi
%A Ahmadi, Jafar
%J Filomat
%@ 0354-5180
%D 2015
