A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications

A novel three-parameter lifetime model called the Marshall Olkin power Ailamujia (MOPA) distribution is developed. The statistical qualities and reliability characteristics of the proposed model are examined, including moment, generating function, incomplete moments, mean deviation, Bonferroni, and...

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Main Authors: Abdullah H. Al-nefaie, Ibrahim E. Ragab
Format: Article
Language:English
Published: Tamkang University Press 2022-09-01
Series:Journal of Applied Science and Engineering
Subjects:
Online Access:http://jase.tku.edu.tw/articles/jase-202303-26-3-0012
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author Abdullah H. Al-nefaie
Ibrahim E. Ragab
author_facet Abdullah H. Al-nefaie
Ibrahim E. Ragab
author_sort Abdullah H. Al-nefaie
collection DOAJ
description A novel three-parameter lifetime model called the Marshall Olkin power Ailamujia (MOPA) distribution is developed. The statistical qualities and reliability characteristics of the proposed model are examined, including moment, generating function, incomplete moments, mean deviation, Bonferroni, and Lorenz curves. The maximum likelihood technique has been used to investigate the estimate of underlying parameters. Finally, two real-world datasets are utilized to show the model’s applicability.
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spelling doaj.art-c256341777544fb482739250b060b2bb2022-12-22T04:24:49ZengTamkang University PressJournal of Applied Science and Engineering2708-99672708-99752022-09-0126341342110.6180/jase.202303_26(3).0012A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & ApplicationsAbdullah H. Al-nefaie0Ibrahim E. Ragab1Quantitative Methods Department, School of Business, King Faisal University, Al Ahsa, Saudi ArabiaHigher Institute of Computer, King Mariout, Alexandria 23713, EgyptA novel three-parameter lifetime model called the Marshall Olkin power Ailamujia (MOPA) distribution is developed. The statistical qualities and reliability characteristics of the proposed model are examined, including moment, generating function, incomplete moments, mean deviation, Bonferroni, and Lorenz curves. The maximum likelihood technique has been used to investigate the estimate of underlying parameters. Finally, two real-world datasets are utilized to show the model’s applicability.http://jase.tku.edu.tw/articles/jase-202303-26-3-0012marshall-olkin familypower ailamujiahazard rate functionmomentsresidual analysismaximum likelihood estimation
spellingShingle Abdullah H. Al-nefaie
Ibrahim E. Ragab
A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications
Journal of Applied Science and Engineering
marshall-olkin family
power ailamujia
hazard rate function
moments
residual analysis
maximum likelihood estimation
title A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications
title_full A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications
title_fullStr A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications
title_full_unstemmed A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications
title_short A Novel Lifetime Model With A Bathtub-Shaped Hazard Rate: Properties & Applications
title_sort novel lifetime model with a bathtub shaped hazard rate properties applications
topic marshall-olkin family
power ailamujia
hazard rate function
moments
residual analysis
maximum likelihood estimation
url http://jase.tku.edu.tw/articles/jase-202303-26-3-0012
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