Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13626
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dc.contributor.authorSanusi, A. A.-
dc.contributor.authorDoguwa, S. I. S.-
dc.contributor.authorAudu, I.-
dc.contributor.authorBaraya, Y. M.-
dc.date.accessioned2021-08-18T12:15:51Z-
dc.date.available2021-08-18T12:15:51Z-
dc.date.issued2020-
dc.identifier.issn2582-0230-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/13626-
dc.description.abstractIn this paper, we developed a new class of continuous distributions called Burr X Exponential-G Family. Also, we obtained sub-models of this family of distributions such as Burr X Exponential-Rayleigh (BXER) and Burr X Exponential Lomax (BXE-Lx) distributions; by showing their respective densities functions. Some structural properties of the proposed family of distributions were derived such as moment, moment generating function, probability weighted moment, renyi entropy and order statistics. We estimate the parameters of the model by using Maximum Likelihood methods. Finally, the results obtained are validated using two real data sets. The results show that BXE-Lx distribution provides better fit in the data sets than some other well known distributions. However, this new family of distributions will serve as an additional generator for developing new sub models to modeling positive real data sets.en_US
dc.publisherAsian Journal of Probability and Statisticsen_US
dc.relation.ispartofseries7(3);58-75-
dc.subjectBurr X E – G family of distributionsen_US
dc.subjectBurr X exponential – Rayleigh distributionen_US
dc.subjectBurr X exponential – Lomax distributionen_US
dc.subjectmoment generating functionen_US
dc.subjectRenyi entropyen_US
dc.subjectorder statisticsen_US
dc.subjectprobability weighted momenten_US
dc.subjectmaximum likelihood estimationen_US
dc.titleBurr X Exponential – G Family of Distributions: Properties and Applicationen_US
dc.typeArticleen_US
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