Estimation a Stress-Strength Model for P(Yr:n1 < Xk:n2) Using the Lindley Distribution

Fuente: Redalyc
Enregistré dans:
Détails bibliographiques
Auteur principal: Marwa KH Hassan
Format: Artículo científico
Langue:en
Publié: Universidad Nacional de Colombia 2017
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1876476536149770240
author Marwa KH Hassan
author_facet Marwa KH Hassan
contents Estimation a Stress-Strength Model for P(Yr:n1 < Xk:n2) Using the Lindley Distribution Marwa KH Hassan Física, Astronomía y Matemáticas Stress Strength Model Bayes Estimator Order Statistics Lindley Distribution The problem of estimation reliability in a multicomponent stress-strength model, when the system consists of k components have strength each compo- nent experiencing a random stress, is considered in this paper. The reliability of such a system is obtained when strength and stress variables are given by Lindley distribution. The system is regarded as alive only if at least r out of k ( r < k ) strength exceeds the stress. The multicomponent reliability of the system is given by R r;k . The maximum likelihood estimator ( M LE ) , uniformly minimum variance unbiased estimator (UMVUE) and Bayes esti- mator of R r;k are obtained. A simulation study is performed to compare the different estimators of R r;k . Real data is used as a practical application of the proposed model. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40
format Artículo científico
id redalyc_89949526007
institution Redalyc
language en
publishDate 2017
publisher Universidad Nacional de Colombia
spellingShingle Estimation a Stress-Strength Model for P(Yr:n1 < Xk:n2) Using the Lindley Distribution
Marwa KH Hassan
Física, Astronomía y Matemáticas
Stress
Strength Model
Bayes Estimator
Order Statistics
Lindley Distribution
Estimation a Stress-Strength Model for P(Yr:n1 < Xk:n2) Using the Lindley Distribution Marwa KH Hassan Física, Astronomía y Matemáticas Stress Strength Model Bayes Estimator Order Statistics Lindley Distribution The problem of estimation reliability in a multicomponent stress-strength model, when the system consists of k components have strength each compo- nent experiencing a random stress, is considered in this paper. The reliability of such a system is obtained when strength and stress variables are given by Lindley distribution. The system is regarded as alive only if at least r out of k ( r < k ) strength exceeds the stress. The multicomponent reliability of the system is given by R r;k . The maximum likelihood estimator ( M LE ) , uniformly minimum variance unbiased estimator (UMVUE) and Bayes esti- mator of R r;k are obtained. A simulation study is performed to compare the different estimators of R r;k . Real data is used as a practical application of the proposed model. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40
title Estimation a Stress-Strength Model for P(Yr:n1 < Xk:n2) Using the Lindley Distribution
topic Física, Astronomía y Matemáticas
Stress
Strength Model
Bayes Estimator
Order Statistics
Lindley Distribution
url https://www.redalyc.org/articulo.oa?id=89949526007