Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20305
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dc.contributor.authorGEERDENS, Candida-
dc.contributor.authorJANSSEN, Paul-
dc.contributor.authorVERAVERBEKE, Noel-
dc.date.accessioned2016-01-21T13:01:21Z-
dc.date.available2016-01-21T13:01:21Z-
dc.date.issued2016-
dc.identifier.citationSTATISTICS, 50(5), p.1036-1055-
dc.identifier.issn0233-1888-
dc.identifier.urihttp://hdl.handle.net/1942/20305-
dc.description.abstractA new nonparametric estimator is proposed for the copula function of a bivariate survival function for data subject to random right-censoring. We consider two censoring models: univariate and copula censoring. We show strong consistency and we obtain an i.i.d. representation for the copula estimator. In a simulation study we compare the new estimator to the one of Gribkova and Lopez (2015).-
dc.language.isoen-
dc.rights© 2015 Taylor & Francis-
dc.subject.othercopula censoring; copulas; Kaplan–Meier estimator; nonparametric estimator; univariate censoring; Primary: 62G20; Secondary: 62G05; 62N01-
dc.titleLarge sample properties of nonparametric copula estimators under bivariate censoring-
dc.typeJournal Contribution-
dc.identifier.epage1055-
dc.identifier.issue5-
dc.identifier.spage1036-
dc.identifier.volume50-
local.format.pages20-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1080/02331888.2015.1119149-
dc.identifier.isi000381061300005-
item.contributorGEERDENS, Candida-
item.contributorJANSSEN, Paul-
item.contributorVERAVERBEKE, Noel-
item.fullcitationGEERDENS, Candida; JANSSEN, Paul & VERAVERBEKE, Noel (2016) Large sample properties of nonparametric copula estimators under bivariate censoring. In: STATISTICS, 50(5), p.1036-1055.-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.validationecoom 2017-
crisitem.journal.issn0233-1888-
crisitem.journal.eissn1029-4910-
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