dc.contributor.author | Kipchirchir, I. C | |
dc.date.accessioned | 2013-06-14T10:15:16Z | |
dc.date.available | 2013-06-14T10:15:16Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Kipchirchir I. C. Modelling Dispersion Using Finite Mixture Of Poisson. Far East Journal of Mathematical Sciences. (FJMS) Volume 56, Number 2,2011, Pages 161-178 | en |
dc.identifier.issn | 0972-0871 | |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/33819 | |
dc.description.abstract | The negative binomial distribution is a versatile distribution in describing dispersion. The negative binomial parameter k is considered as a dispersion parameter. The aim of this paper is to demonstrate that filnite mixture of Poisson can be used in modelling dispersion. The digamma ." function and the Sterling's expansion for the gamma function are used to construct a dispersion parameter in relation to the negative binomial parameter k. The construction is based on the hierarchical maximum
likelihood estimation of the negative binomial parameter k. The method of moments estimates of | en |
dc.language.iso | en | en |
dc.publisher | University of Nairobi | en |
dc.title | Modelling Dispersion Using Finite Mixture Of PoissoN | en |
dc.type | Article | en |
local.publisher | School of Mathematics University of Nairobi | en |