Kernel Survival Function Estimation Based on Doubly Censored Data

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dc.contributor.authorBiswas, Animikh
dc.contributor.authorSundaram, Rajeshwari
dc.date.accessioned2024-11-14T15:18:32Z
dc.date.available2024-11-14T15:18:32Z
dc.date.issued2006-09-22
dc.description.abstractThis work concerns the estimation of a smooth survival function based on doubly censored data. We establish strong consistency and asymptotic normality for a kernel estimator. Moreover, we also obtain an asymptotic expression for the mean integrated squared error, which yields an optimum bandwidth in terms of readily estimable quantities.
dc.description.urihttps://www.tandfonline.com/doi/full/10.1080/03610920600692748
dc.format.extent18 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2pgbr-pqpy
dc.identifier.citationBiswas, Animikh, and Rajeshwari Sundaram. “Kernel Survival Function Estimation Based on Doubly Censored Data.” Communications in Statistics - Theory and Methods 35, no. 7 (June 1, 2006): 1293–1307. https://doi.org/10.1080/03610920600692748.
dc.identifier.urihttps://doi.org/10.1080/03610920600692748
dc.identifier.urihttp://hdl.handle.net/11603/36931
dc.language.isoen_US
dc.publisherTaylor & Francis
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics and Statistics Department
dc.rightsThis is an original manuscript of an article published by Taylor & Francis in Communications in Statistics - Theory and Methods on 22 Sep 2006, available at: https://doi.org/10.1080/03610920600692748
dc.subject62G08
dc.subject62G20
dc.subject62N02
dc.subjectDouble censoring
dc.subjectKernel estimator
dc.subjectMean integrated squared error
dc.titleKernel Survival Function Estimation Based on Doubly Censored Data
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-8594-0568

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