387515

Stress-strength reliability for general bivariate distributions

Article

Last updated: 05 Jan 2025

Subjects

-

Tags

-

Abstract

An expression for the stress-strength reliability R = P( X 1 < X 2 ) is obtained when the
vector ( X 1 , X 2 ) follows a general bivariate distribution. Such distribution includes bivariate compound
Weibull, bivariate compound Gompertz, bivariate compound Pareto, among others. In the
parametric case, the maximum likelihood estimates of the parameters and reliability function R are
obtained. In the non-parametric case, point and interval estimates of R are developed using Govin-
darajulu's asymptotic distribution-free method when X 1 and X 2 are dependent. An example is given
when the population distribution is bivariate compound Weibull. Simulation is performed, based on
different sample sizes to study the performance of estimates.

DOI

10.1016/j.joems.2016.01.005

Keywords

General bivariate distribu- tion, Parametric estimation of parameters and stress- strength reliability, Govindarajulu’s non-par- ametric interval bounds of R

Authors

First Name

Alaa

Last Name

Abdel-Hamid

MiddleName

H.

Affiliation

Department of Mathematics and Computer Science, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt

Email

-

City

-

Orcid

-

Volume

24

Article Issue

4

Related Issue

51066

Issue Date

2016-12-01

Receive Date

2024-10-22

Publish Date

2016-12-01

Page Start

617

Page End

621

Print ISSN

1110-256X

Online ISSN

2090-9128

Link

https://joems.journals.ekb.eg/article_387515.html

Detail API

https://joems.journals.ekb.eg/service?article_code=387515

Order

387,515

Publication Type

Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle

Stress-strength reliability for general bivariate distributions

Details

Type

Article

Created At

21 Dec 2024