Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/36615 
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dc.contributor.authorPoniatowski, Wladyslawen
dc.contributor.authorWeißbach, Rafaelen
dc.date.accessioned2009-05-26-
dc.date.accessioned2010-07-15T10:08:01Z-
dc.date.available2010-07-15T10:08:01Z-
dc.date.issued2008-
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
dc.language.isoengen
dc.publisher|aTechnische Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen |cDortmunden
dc.relation.ispartofseries|aTechnical Report |x2008,20en
dc.subject.ddc519en
dc.subject.keywordkernel smoothingen
dc.subject.keywordhazard rateen
dc.subject.keywordleft-truncationen
dc.subject.keywordright-censoringen
dc.subject.keywordempirical processen
dc.titleStrong consistency for delta sequence ratios-
dc.typeWorking Paperen
dc.identifier.ppn60040580Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:sfb475:200820en

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