Generalization and classes of probability distributions

dc.contributor.authorOmukami, Howard
dc.contributor.authorOttieno, Jarn
dc.date.accessioned2021-05-07T14:18:38Z
dc.date.available2021-05-07T14:18:38Z
dc.date.issued2019
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractHighlights of various methods for constructing probability distributions are given. The distributions are based on : power series, transformations, mixtures, sums of independent random variables, recursive relations, differential equations, geometry, generators, lifetime, special functions and weighted functions . Distributions arising from stochastic processes are also discussed. Some of the distributions are generalizations of other distributions while others form classes. In this paper we shall present work done on constructions, properties, estimations and applications of these distributions in the School of Mathematics University of Nairobi.en_US
dc.description.sponsorshipUniversity of Nairobi, Kenya.en_US
dc.identifier.urihttp://hdl.handle.net/11071/10480
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectGeneralizationsen_US
dc.subjectclass of distributionsen_US
dc.subjectRecursive relationsen_US
dc.titleGeneralization and classes of probability distributionsen_US
dc.typeArticleen_US
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