dc.contributor.author | Kariuki, Alex J K | |
dc.date.accessioned | 2013-05-22T05:59:52Z | |
dc.date.available | 2013-05-22T05:59:52Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Master of Science in Statistics | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24273 | |
dc.description.abstract | Copula 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.sponsorship | University of Nairobi | en |
dc.language.iso | en | en |
dc.subject | Bivariate data, | en |
dc.subject | Dependence, | en |
dc.subject | Frailty, | en |
dc.subject | Copulas | en |
dc.title | Effect of censoring on dependence of bivariate survival data | en |
dc.type | Thesis | en |
local.publisher | School of Mathematics, University of Nairobi | en |