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221209

ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE

Article

Last updated: 05 Jan 2025

Subjects

-

Tags

Mathematics and Computer Science

Abstract

In this article, constant partially accelerated life tests are considered. Based on a progressive first-failure censoring scheme, the maximum likelihood and the Bayes estimates for the parameters of the Weibull-Geometric distribution as well as the acceleration parameter are obtained. The Bayes estimates are derived using the Markov Chain Monte Carlo (MCMC) technique. A Monte Carlo simulation study has been conducted to compare the different estimates.  

DOI

10.21608/aunj.2018.221209

Keywords

Weibull-Geometric distribution, progressive first-failure censoring scheme, partially accelerated life test, Markov Chain Monte Carlo technique, Metropolis-Hastings

Volume

47

Article Issue

2

Related Issue

31544

Issue Date

2018-12-01

Receive Date

2022-02-22

Publish Date

2018-12-01

Page Start

27

Page End

41

Print ISSN

2812-5029

Online ISSN

2812-5037

Link

https://aunj.journals.ekb.eg/article_221209.html

Detail API

https://aunj.journals.ekb.eg/service?article_code=221209

Order

221,209

Type

Novel Research Articles

Type Code

2,242

Publication Type

Journal

Publication Title

Assiut University Journal of Multidisciplinary Scientific Research

Publication Link

https://aunj.journals.ekb.eg/

MainTitle

ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE

Details

Type

Article

Created At

23 Jan 2023