Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions

Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions

The quality of the products coming from different lines of production requires some tests called comparative life tests. For lines having the same facility, the lifetime of the product is distributed by Burr XII, the lifetime distribution, and units are tested under type-I generalized hybrid censori...

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Main Authors: Mahmoud Ragab, Aisha Fayomi, Ali Algarni, G. A. Abd-Elmougod, Neveen Sayed-Ahmed, S. M. Abo-Dahab, S. Abdel-Khalek
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5543187
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spelling doaj-f4bf72cb8c9747929fc7394c3c2c8e1b2021-05-31T00:32:49ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/5543187Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime DistributionsMahmoud Ragab0Aisha Fayomi1Ali Algarni2G. A. Abd-Elmougod3Neveen Sayed-Ahmed4S. M. Abo-Dahab5S. Abdel-Khalek6Information Technology DepartmentStatistics DepartmentStatistics DepartmentMathematics DepartmentStatistics DepartmentDepartment of MathematicsStatistics DepartmentThe quality of the products coming from different lines of production requires some tests called comparative life tests. For lines having the same facility, the lifetime of the product is distributed by Burr XII, the lifetime distribution, and units are tested under type-I generalized hybrid censoring scheme. The observed censoring data are used under maximum likelihood and the Bayes method to estimate the model parameters. The theoretical results are discussed and assessed through data analysis and Monte Carlo simulation study. Finally, we reported some brief comments obtained from numerical computation.http://dx.doi.org/10.1155/2021/5543187
collection DOAJ
language English
format Article
sources DOAJ
author Mahmoud Ragab
Aisha Fayomi
Ali Algarni
G. A. Abd-Elmougod
Neveen Sayed-Ahmed
S. M. Abo-Dahab
S. Abdel-Khalek
spellingShingle Mahmoud Ragab
Aisha Fayomi
Ali Algarni
G. A. Abd-Elmougod
Neveen Sayed-Ahmed
S. M. Abo-Dahab
S. Abdel-Khalek
Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions
Complexity
author_facet Mahmoud Ragab
Aisha Fayomi
Ali Algarni
G. A. Abd-Elmougod
Neveen Sayed-Ahmed
S. M. Abo-Dahab
S. Abdel-Khalek
author_sort Mahmoud Ragab
title Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions
title_short Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions
title_full Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions
title_fullStr Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions
title_full_unstemmed Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions
title_sort statistical analysis of joint type-i generalized hybrid censoring data from burr xii lifetime distributions
publisher Hindawi-Wiley
series Complexity
issn 1099-0526
publishDate 2021-01-01
description The quality of the products coming from different lines of production requires some tests called comparative life tests. For lines having the same facility, the lifetime of the product is distributed by Burr XII, the lifetime distribution, and units are tested under type-I generalized hybrid censoring scheme. The observed censoring data are used under maximum likelihood and the Bayes method to estimate the model parameters. The theoretical results are discussed and assessed through data analysis and Monte Carlo simulation study. Finally, we reported some brief comments obtained from numerical computation.
url http://dx.doi.org/10.1155/2021/5543187
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