Modelling Dispersion Using Finite Mixture Of PoissoN

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