Odd Generalized Exponential Kumaraswamy–Weibull Distribution

A novel odd generalized exponential Kumaraswamy–Weibull distribution is defined. This distribution is distinguished by its capacity to capture a wider class of hazard functions than the standard Weibull models, such as non-monotonic and bathtub-shaped hazards. This is an advancement in distribution...

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Main Authors: Sandra S. Ferreira, Dário Ferreira
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/7/1136
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author Sandra S. Ferreira
Dário Ferreira
author_facet Sandra S. Ferreira
Dário Ferreira
author_sort Sandra S. Ferreira
collection DOAJ
description A novel odd generalized exponential Kumaraswamy–Weibull distribution is defined. This distribution is distinguished by its capacity to capture a wider class of hazard functions than the standard Weibull models, such as non-monotonic and bathtub-shaped hazards. This is an advancement in distribution theory because it provides a new simplified form of the distribution with a much more complicated behavior, which results in better statistical inference and detail in survival analysis and other related fields. Considerations on the identifiability of the proposed distribution are addressed, emphasizing the distinct contributions of its parameters and their roles in model behavior characterization. One real dataset from a survival experiment is considered, highlighting the practical implications of our distribution in the context of reliability.
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spelling doaj-art-ad3c392c38c64ef5969759da2e7ba25f2025-08-20T02:15:58ZengMDPI AGMathematics2227-73902025-03-01137113610.3390/math13071136Odd Generalized Exponential Kumaraswamy–Weibull DistributionSandra S. Ferreira0Dário Ferreira1Department of Mathematics, Centre of Mathematics, University of Beira Interior, 6201-001 Covilhã, PortugalDepartment of Mathematics, Centre of Mathematics, University of Beira Interior, 6201-001 Covilhã, PortugalA novel odd generalized exponential Kumaraswamy–Weibull distribution is defined. This distribution is distinguished by its capacity to capture a wider class of hazard functions than the standard Weibull models, such as non-monotonic and bathtub-shaped hazards. This is an advancement in distribution theory because it provides a new simplified form of the distribution with a much more complicated behavior, which results in better statistical inference and detail in survival analysis and other related fields. Considerations on the identifiability of the proposed distribution are addressed, emphasizing the distinct contributions of its parameters and their roles in model behavior characterization. One real dataset from a survival experiment is considered, highlighting the practical implications of our distribution in the context of reliability.https://www.mdpi.com/2227-7390/13/7/1136generalized exponential familymaximum likelihood estimationodd generalized exponentiated familyWeibull distribution
spellingShingle Sandra S. Ferreira
Dário Ferreira
Odd Generalized Exponential Kumaraswamy–Weibull Distribution
Mathematics
generalized exponential family
maximum likelihood estimation
odd generalized exponentiated family
Weibull distribution
title Odd Generalized Exponential Kumaraswamy–Weibull Distribution
title_full Odd Generalized Exponential Kumaraswamy–Weibull Distribution
title_fullStr Odd Generalized Exponential Kumaraswamy–Weibull Distribution
title_full_unstemmed Odd Generalized Exponential Kumaraswamy–Weibull Distribution
title_short Odd Generalized Exponential Kumaraswamy–Weibull Distribution
title_sort odd generalized exponential kumaraswamy weibull distribution
topic generalized exponential family
maximum likelihood estimation
odd generalized exponentiated family
Weibull distribution
url https://www.mdpi.com/2227-7390/13/7/1136
work_keys_str_mv AT sandrasferreira oddgeneralizedexponentialkumaraswamyweibulldistribution
AT darioferreira oddgeneralizedexponentialkumaraswamyweibulldistribution