1Department of Mathematics/Computer Science/Statistics/Informatics, Alex Ekwueme Federal University Ndufu alike, Ikwo, Nigeria
2Department of Statistics, Micheal Okpara University of Agriculture, Umudike, Nigeria
American Journal of Applied Mathematics and Statistics.
2020,
Vol. 8 No. 1, 9-20
DOI: 10.12691/ajams-8-1-2
Copyright © 2020 Science and Education PublishingCite this paper: Elebe E. Nwezza, Chinonyerem V. Ogbuehi, Uchenna U. Uwadi, C.O. Omekara. A New Gumbel Generated Family of Distributions: Properties, Bivariate Distribution and Application.
American Journal of Applied Mathematics and Statistics. 2020; 8(1):9-20. doi: 10.12691/ajams-8-1-2.
Correspondence to: Elebe E. Nwezza, Department of Mathematics/Computer Science/Statistics/Informatics, Alex Ekwueme Federal University Ndufu alike, Ikwo, Nigeria. Email:
emma_nwezza@yahoo.comAbstract
In this paper, we propose a new class of Gumbel generated distributions called Gumbel-Marshall-Olkin family of distributions. The new family of distributions is represented as linear mixture of exponentiated-G distribution. Some of the sub-models are presented. We derived some characterizations such as the quantile, moments, moment generating function, entropy and order statistics of the proposed family of distributions. The estimation of the unknown parameters of the new class of distribution is through the maximum likelihood. The consistency of the MLEs of the sub-model is assessed by means of simulation. Furthermore, we derive the bivariate density function of the new class of distributions. Two real life data sets are used to illustrate the potential usefulness of the sub-models of the proposed class of distributions. The results of the applications clearly indicate that the sub-models of the proposed class of distribution provided better fit among the other competing models.
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