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221105

ESTIMATION IN CONSTANT-STRESS PARTIALLY ACCELERATED LIFE TESTS FOR BURR TYPE XII USING TAMPERED RANDOM VARIABLE MODEL UNDER UNIFIED HYBRID CENSORING DATA

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Last updated: 05 Jan 2025

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Tags

Mathematics and Computer Science

Abstract

This paper discusses constant stress partially accelerated life tests for unified hybrid censoring data from Burr type XII distribution with a tampered random variable. Both maximum likelihood and Bayesian methods are used to estimate the unknown population parameters and accelerated factor. In order to compute the asymptotic confidence intervals for the maximum likelihood estimators, we first calculate the Fisher information matrix related to the underlying model. On the other hand, Markov Chain Monte Carlo method under squared error loss function is used for obtaining the corresponding Bayesian estimators. In addition, a simulation study is carried out to compare the performances of the resulting estimators.

DOI

10.21608/aunj.2019.221105

Keywords

Unified hybrid censoring, Maximum likelihood estimators, Bayesian estimators, Observed Fisher information matrix, Markov Chain Monte Carlo method

Volume

48

Article Issue

2

Related Issue

31538

Issue Date

2019-12-01

Receive Date

2022-02-22

Publish Date

2019-12-01

Page Start

125

Page End

139

Print ISSN

2812-5029

Online ISSN

2812-5037

Article File

AUNJ_Volume 48_Issue 2_Pages 125-139.pdf

PDF . 831.5kB

Link

https://aunj.journals.ekb.eg/article_221105.html

Detail API

https://aunj.journals.ekb.eg/service?article_code=221105

Order

221,105

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 IN CONSTANT-STRESS PARTIALLY ACCELERATED LIFE TESTS FOR BURR TYPE XII USING TAMPERED RANDOM VARIABLE MODEL UNDER UNIFIED HYBRID CENSORING DATA

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Type

Article

Created At

23 Jan 2023