Covariance function of a bivariate distribution function estimator for left truncated and right censored data

dc.citation.epage1232en_US
dc.citation.issueNumber4en_US
dc.citation.spage1219en_US
dc.citation.volumeNumber8en_US
dc.contributor.authorGijbelsi I.en_US
dc.contributor.authorGürler, Ü.en_US
dc.date.accessioned2016-02-08T10:44:00Z
dc.date.available2016-02-08T10:44:00Z
dc.date.issued1998en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractIn left truncation and right censoring models one observes i.i.d. samples from the triplet (T, Z, δ) only if T ≤ Z, where Z = min(Y, C) and δ is one if Z = Y and zero otherwise. Here, Y is the variable of interest, T is the truncating variable and C is the censoring variable. Recently, Gürler and Gijbels (1996) proposed a nonparametric estimator for the bivariate distribution function when one of the components is subject to left truncation and right censoring. An asymptotic representation of this estimator as a mean of i.i.d. random variables with a negligible remainder term has been developed. This result establishes the convergence to a two time parameter Gaussian process. The covariance structure of the limiting process is quite complicated however, and is derived in this paper. We also consider the special case of censoring only. In this case the general expression for the variance function reduces to a simpler formula.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:44:00Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1998en
dc.identifier.issn1017-0405
dc.identifier.urihttp://hdl.handle.net/11693/25397
dc.language.isoEnglishen_US
dc.publisherInstitute of Statistical Science, Academia Sinicaen_US
dc.relation.isversionofhttps://www.jstor.org/stable/24306534en_US
dc.source.titleStatistica Sinicaen_US
dc.subjectBivariate distributionen_US
dc.subjectCensoringen_US
dc.subjectCovarianceen_US
dc.subjectNonparametric estimatoren_US
dc.subjectTruncationen_US
dc.titleCovariance function of a bivariate distribution function estimator for left truncated and right censored dataen_US
dc.typeArticleen_US

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