A New Generalized Gamma-Weibull Distribution and its Applications

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dc.contributor.authorAleshinloye, N.I.
dc.contributor.authorAderoju, S. A.
dc.contributor.authorAbiodun, A.A.
dc.contributor.authorTaiwo, B.L.
dc.date.accessioned2023-07-27T08:23:29Z
dc.date.available2023-07-27T08:23:29Z
dc.date.issued2023-04-17
dc.description.abstractIn this paper, a New Generalized Gamma-Weibull (NGGW) distribution is developed by compounding Weibull and generalized gamma distribution. Some mathematical properties such as moments, Renyi entropy and order statistics are derived and discussed. The maximum likelihood estimation (MLE) method is used to estimate the model parameters. The proposed model is applied to two real-life datasets to illustrate its performance and flexibility as compared to some other competing distributions. The results obtained show that the new distribution fits each of the data better than the other competing distributions.
dc.identifier.citationAleshinloye, N. I.; Aderoju, S.A.; Abiodun, A. A. and Taiwo, B. L. (2023) "A New Generalized Gamma-Weibull Distribution and its Applications," Al-Bahir Journal for Engineering and Pure Sciences: Vol. 2 : Iss. 2, 92-100.
dc.identifier.doi10.55810/2312-5721.1021
dc.identifier.issn2312-5721
dc.identifier.urihttps://kwasuspace.kwasu.edu.ng/handle/123456789/727
dc.language.isoen
dc.publisherAl-Bahir Journal for Engineering and Pure Sciences
dc.relation.ispartofAl-Bahir Journal for Engineering and Pure Sciences
dc.titleA New Generalized Gamma-Weibull Distribution and its Applications
dc.typejournal-article
oaire.citation.issue2
oaire.citation.volume2
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