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dc.contributor.authorPoniatowski, Wladyslawen_US
dc.contributor.authorWeißbach, Rafaelen_US
dc.date.accessioned2009-05-26en_US
dc.date.accessioned2010-07-15T10:08:01Z-
dc.date.available2010-07-15T10:08:01Z-
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/10419/36615-
dc.description.abstractAlmost sure convergence for ratios of delta functions establishes global and local strong consistency for a variety of estimates and data generations. For instance, the empirical probability function from independent identically distributed random vectors, the empirical distribution for univariate independent identically distributed observations, and the kernel hazard rate estimate for right-censored and left-truncated data are covered. The convergence rates derive from the Bennett-Hoeffding inequality.en_US
dc.language.isoengen_US
dc.publisherUniv., SFB 475 Dortmunden_US
dc.relation.ispartofseriesTechnical Report // Sonderforschungsbereich 475, Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2008,20en_US
dc.subject.ddc310en_US
dc.subject.keywordkernel smoothingen_US
dc.subject.keywordhazard rateen_US
dc.subject.keywordleft-truncationen_US
dc.subject.keywordright-censoringen_US
dc.subject.keywordempirical processen_US
dc.titleStrong consistency for delta sequence ratiosen_US
dc.typeWorking Paperen_US
dc.identifier.ppn60040580Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:sfb475:200820-
Appears in Collections:Technical Reports, SFB 475: Komplexitätsreduktion in multivariaten Datenstrukturen, TU Dortmund

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