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dc.contributor.authorKariuki, Alex J K
dc.date.accessioned2013-05-22T05:59:52Z
dc.date.available2013-05-22T05:59:52Z
dc.date.issued2009
dc.identifier.citationMaster of Science in Statisticsen
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24273
dc.description.abstractCopula modelling has become an increasingly popular tool to model dependence. Copulas helps to extract the dependence structure from the joint distribution function of a set of random variables, and at the same time ,to separate the dependence structure from the univariate marginal behaviour. In bivariate survival data, a copula function is used in modelling dependence of frailty and discussion is on the effect of censoring on the dependence model.en
dc.description.sponsorshipUniversity of Nairobien
dc.language.isoenen
dc.subjectBivariate data,en
dc.subjectDependence,en
dc.subjectFrailty,en
dc.subjectCopulasen
dc.titleEffect of censoring on dependence of bivariate survival dataen
dc.typeThesisen
local.publisherSchool of Mathematics, University of Nairobien


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