Generalization and classes of probability distributions
dc.contributor.author | Omukami, Howard | |
dc.contributor.author | Ottieno, Jarn | |
dc.date.accessioned | 2021-05-07T14:18:38Z | |
dc.date.available | 2021-05-07T14:18:38Z | |
dc.date.issued | 2019 | |
dc.description | Paper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenya | en_US |
dc.description.abstract | Highlights 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.sponsorship | University of Nairobi, Kenya. | en_US |
dc.identifier.uri | http://hdl.handle.net/11071/10480 | |
dc.language.iso | en_US | en_US |
dc.publisher | Strathmore University | en_US |
dc.subject | Generalizations | en_US |
dc.subject | class of distributions | en_US |
dc.subject | Recursive relations | en_US |
dc.title | Generalization and classes of probability distributions | en_US |
dc.type | Article | en_US |
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