Title : ( On system reliability estimation in stress-strength setup )
Authors: Ali Rostami , Mohammad Khanjari Sadegh , Mohammad Khorashadizadeh ,
Full TextAbstract
In this paper, we consider the estimation of the stress-strength reliability of a coherent system. The distributions of stress and strength random variables are the members of a general class of distributions. For a series-parallel system, the reliability of the stress-strength model is estimated using the maximum likelihood estimation, asymptotic confidence interval, uniformly minimum variance unbiased estimation, and Bayes estimation. Also, simulation studies are performed, and two real data sets are analyzed.
Keywords
, Asymptotic confidence interval; Bayes estimation; Maximum likelihood estimation; Stress, strength reliability; Uniformly minimum variance unbiased estimation.
@article{paperid:1100348,
author = {علی رستمی and Khanjari Sadegh, Mohammad and محمد خراشادیزاده},
title = {On system reliability estimation in stress-strength setup},
journal = {Journal of Statistical Modelling: Theory and Applications},
year = {2023},
volume = {3},
number = {1},
month = {March},
issn = {2676-7392},
pages = {103--121},
numpages = {18},
keywords = {Asymptotic confidence interval; Bayes estimation; Maximum likelihood
estimation; Stress-strength reliability; Uniformly minimum variance unbiased estimation.},
}
%0 Journal Article
%T On system reliability estimation in stress-strength setup
%A علی رستمی
%A Khanjari Sadegh, Mohammad
%A محمد خراشادیزاده
%J Journal of Statistical Modelling: Theory and Applications
%@ 2676-7392
%D 2023
