Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15332
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dc.contributor.authorde Una-Alvarez, Jacobo-
dc.contributor.authorVERAVERBEKE, Noel-
dc.date.accessioned2013-07-25T09:47:45Z-
dc.date.available2013-07-25T09:47:45Z-
dc.date.issued2013-
dc.identifier.citationTEST, 22 (2), p. 343-360-
dc.identifier.issn1133-0686-
dc.identifier.urihttp://hdl.handle.net/1942/15332-
dc.description.abstractIn this paper, a copula-graphic estimator is proposed for censored survival data. It is assumed that there is some dependent censoring acting on the variable of interest that may come from an existing competing risk. Furthermore, the full process is independently censored by some administrative censoring time. The dependent censoring is modeled through an Archimedean copula function, which is supposed to be known. An asymptotic representation of the estimator as a sum of independent and identically distributed random variables is obtained, and, consequently, a central limit theorem is established. We investigate the finite sample performance of the estimator through simulations. A real data illustration is included.-
dc.description.sponsorshipWork supported by the Grant MTM2008-03129 of the Spanish Ministry of Science and Innovation. The first author acknowledges support from the projects MTM2011-23204 of the Spanish Ministry of Science and Innovation (FEDER support included) and 10PXIB300068PR of the Xunta de Galicia. The second author also acknowledges the IAP Research Network P6/03 of the Belgian State (Belgian Science Policy). Noel Veraverbeke is extraordinary professor at the North-West University, Potchefstroom, South Africa.-
dc.language.isoen-
dc.publisherSPRINGER-
dc.subject.otherAlmost sure representation; Archimedean copula; Censored data; Informative censoring; Survival analysis-
dc.subject.otherStatistics & Probability-
dc.titleGeneralized copula-graphic estimator-
dc.typeJournal Contribution-
dc.identifier.epage360-
dc.identifier.issue2-
dc.identifier.spage343-
dc.identifier.volume22-
local.format.pages18-
local.bibliographicCitation.jcatA1-
dc.description.notesde Una-Alvarez, J (reprint author), Univ Vigo, Dept Stat & Operat Res, Vigo 36310, Spain. Univ Hasselt, Ctr Stat, Hasselt, Belgium. North West Univ, Unit BMI, Potchefstroom, South Africa. jacobo@uvigo.es-
local.publisher.placeNEW YORK-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1007/s11749-012-0314-2-
dc.identifier.isi000319074700012-
item.fullcitationde Una-Alvarez, Jacobo & VERAVERBEKE, Noel (2013) Generalized copula-graphic estimator. In: TEST, 22 (2), p. 343-360.-
item.accessRightsRestricted Access-
item.contributorde Una-Alvarez, Jacobo-
item.contributorVERAVERBEKE, Noel-
item.fulltextWith Fulltext-
item.validationecoom 2014-
crisitem.journal.issn1133-0686-
crisitem.journal.eissn1863-8260-
Appears in Collections:Research publications
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