Title : ( On estimation of stress-strength parameter using record values from proportional hazard rate models )
Authors: maryam basirat , Simindokht Baratpour Bajgiran , Jafar Ahmadi ,
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Abstract
Based on record values, this paper deals with inference for stress-strength reliability,R =P(X < Y), where the distribution of X and Y follow proportional hazard rate mod-els but having different parameters. Maximum likelihood estimator, uniformly minimum variance unbiased estimator, Bayes estimator and different confidence intervals for R are obtained. Numerical computations and simulation study are peresented for illustrative purposes.
Keywords
, Record values, Maximum likelihood estimator, Uniformly minimum variance unbiased estimator, Bayesian estimation, Bootstrap confidence interval, Proportional hazard rate model
@article{paperid:1042199,
author = {Basirat, Maryam and Baratpour Bajgiran, Simindokht and Ahmadi, Jafar},
title = {On estimation of stress-strength parameter using record values from proportional hazard rate models},
journal = {Communications in Statistics - Theory and Methods},
year = {2016},
volume = {45},
number = {19},
month = {December},
issn = {0361-0926},
pages = {5787--5801},
numpages = {14},
keywords = {Record values; Maximum likelihood estimator; Uniformly minimum variance unbiased estimator; Bayesian estimation; Bootstrap confidence interval; Proportional hazard rate model},
}
%0 Journal Article
%T On estimation of stress-strength parameter using record values from proportional hazard rate models
%A Basirat, Maryam
%A Baratpour Bajgiran, Simindokht
%A Ahmadi, Jafar
%J Communications in Statistics - Theory and Methods
%@ 0361-0926
%D 2016
