Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36478
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dc.contributor.authorABRAMS, Steven-
dc.contributor.authorJANSSEN, Paul-
dc.contributor.authorVERAVERBEKE, Noel-
dc.date.accessioned2022-01-12T10:50:26Z-
dc.date.available2022-01-12T10:50:26Z-
dc.date.issued2021-
dc.date.submitted2021-12-23T12:13:00Z-
dc.identifier.citationStatistics (Berlin), 55 (6) , p. 1271-1290-
dc.identifier.urihttp://hdl.handle.net/1942/36478-
dc.description.abstractThe study of the residual lifetime received considerable attention in survival analysis and in other disciplines like reliability theory and actuarial science. The quantile residual lifetime function, the inverse of the residual lifetime distribution P(T-1 - t(1) <= y vertical bar T-1 > t(1)), provides an interesting and well-studied measure to analyse residual lifetimes. In this paper we generalize the residual lifetime distribution and the quantile residual lifetime function by adding an extra conditioning of the form {T-2 <= t(2)} or {T-2 > t(2)}, where T-2 is a second variable containing extra information on T-1. Wepropose, for right-censored lifetimes, nonparametric estimators for this generalized conditional remaining lifetime distribution and the corresponding quantile function and we derive the asymptotic theory. In a simulation study, we show the good performance of the newly proposed quantile estimators and we discuss an application to real data on primary biliary cirrhosis.-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.rights2021 Informa UK Limited, trading as Taylor & Francis Group-
dc.subject.otherAsymptotic representation-
dc.subject.otherbivariate distribution-
dc.subject.otherconditional residual lifetime-
dc.subject.otherquantiles-
dc.subject.otherright censoring-
dc.titleQuantiles of the conditional residual lifetime-
dc.typeJournal Contribution-
dc.identifier.epage1290-
dc.identifier.issue6-
dc.identifier.spage1271-
dc.identifier.volume55-
local.format.pages20-
local.bibliographicCitation.jcatA1-
dc.description.notesAbrams, S (corresponding author), Univ Hasselt, Data Sci Inst DSI, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Diepenbeek, Belgium.-
dc.description.notessteven.abrams@uhasselt.be-
local.publisher.place2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1080/02331888.2021.2006661-
dc.identifier.isi000727198200001-
local.provider.typewosris-
local.description.affiliation[Abrams, S.; Janssen, P.; Veraverbeke, N.] Univ Hasselt, Data Sci Inst DSI, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Diepenbeek, Belgium.-
local.description.affiliation[Abrams, S.] Univ Antwerp, Global Hlth Inst GHI, Family Med & Populat Hlth FAMPOP, Antwerp, Belgium.-
local.description.affiliation[Janssen, P.; Veraverbeke, N.] North West Univ, Potchefstroom, South Africa.-
local.uhasselt.internationalno-
item.validationecoom 2022-
item.contributorABRAMS, Steven-
item.contributorJANSSEN, Paul-
item.contributorVERAVERBEKE, Noel-
item.accessRightsOpen Access-
item.fullcitationABRAMS, Steven; JANSSEN, Paul & VERAVERBEKE, Noel (2021) Quantiles of the conditional residual lifetime. In: Statistics (Berlin), 55 (6) , p. 1271-1290.-
item.fulltextWith Fulltext-
crisitem.journal.issn0233-1888-
crisitem.journal.eissn1029-4910-
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