A New Extended-F Family: Properties and Applications to Lifetime Data

In this article, a new approach is used to introduce an additional parameter to a continuous class of distributions. The new class is referred to as a new extended-F family of distributions. The new extended-Weibull distribution, as a special submodel of this family, is discussed. General expression...

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Main Authors: Saima K. Khosa, Ahmed Z. Afify, Zubair Ahmad, Mi Zichuan, Saddam Hussain, Anum Iftikhar
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2020/5498638
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author Saima K. Khosa
Ahmed Z. Afify
Zubair Ahmad
Mi Zichuan
Saddam Hussain
Anum Iftikhar
author_facet Saima K. Khosa
Ahmed Z. Afify
Zubair Ahmad
Mi Zichuan
Saddam Hussain
Anum Iftikhar
author_sort Saima K. Khosa
collection DOAJ
description In this article, a new approach is used to introduce an additional parameter to a continuous class of distributions. The new class is referred to as a new extended-F family of distributions. The new extended-Weibull distribution, as a special submodel of this family, is discussed. General expressions for some mathematical properties of the proposed family are derived, and maximum likelihood estimators of the model parameters are obtained. Furthermore, a simulation study is provided to evaluate the validity of the maximum likelihood estimators. Finally, the flexibility of the proposed method is illustrated via two applications to real data, and the comparison is made with the Weibull and some of its well-known extensions such as Marshall–Olkin Weibull, alpha power-transformed Weibull, and Kumaraswamy Weibull distributions.
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series Journal of Mathematics
spelling doaj-art-a89b9e6ab45b4cfcb739f990bd0b036c2025-02-03T06:43:59ZengWileyJournal of Mathematics2314-46292314-47852020-01-01202010.1155/2020/54986385498638A New Extended-F Family: Properties and Applications to Lifetime DataSaima K. Khosa0Ahmed Z. Afify1Zubair Ahmad2Mi Zichuan3Saddam Hussain4Anum Iftikhar5Department of Statistics, Bahauddin Zakariya University, Multan, PakistanDepartment of Statistics, Mathematics and Insurance, Benha University, Benha, EgyptDepartment of Statistics, Yazd University, P. O. Box 89175-741, Yazd, IranSchool of Statistics, Shanxi University of Finance and Economic, Taiyuan, ChinaSchool of Statistics, Shanxi University of Finance and Economic, Taiyuan, ChinaSchool of Statistics, Shanxi University of Finance and Economic, Taiyuan, ChinaIn this article, a new approach is used to introduce an additional parameter to a continuous class of distributions. The new class is referred to as a new extended-F family of distributions. The new extended-Weibull distribution, as a special submodel of this family, is discussed. General expressions for some mathematical properties of the proposed family are derived, and maximum likelihood estimators of the model parameters are obtained. Furthermore, a simulation study is provided to evaluate the validity of the maximum likelihood estimators. Finally, the flexibility of the proposed method is illustrated via two applications to real data, and the comparison is made with the Weibull and some of its well-known extensions such as Marshall–Olkin Weibull, alpha power-transformed Weibull, and Kumaraswamy Weibull distributions.http://dx.doi.org/10.1155/2020/5498638
spellingShingle Saima K. Khosa
Ahmed Z. Afify
Zubair Ahmad
Mi Zichuan
Saddam Hussain
Anum Iftikhar
A New Extended-F Family: Properties and Applications to Lifetime Data
Journal of Mathematics
title A New Extended-F Family: Properties and Applications to Lifetime Data
title_full A New Extended-F Family: Properties and Applications to Lifetime Data
title_fullStr A New Extended-F Family: Properties and Applications to Lifetime Data
title_full_unstemmed A New Extended-F Family: Properties and Applications to Lifetime Data
title_short A New Extended-F Family: Properties and Applications to Lifetime Data
title_sort new extended f family properties and applications to lifetime data
url http://dx.doi.org/10.1155/2020/5498638
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