Full metadata record
DC FieldValueLanguage
dc.contributor.authorPoniatowski, Wladyslaw-
dc.contributor.authorWeißbach, Rafael-
dc.date.accessioned2009-01-13T07:57:09Z-
dc.date.available2009-01-13T07:57:09Z-
dc.date.issued2009-01-13T07:57:09Z-
dc.identifier.urihttp://hdl.handle.net/2003/25986-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-12770-
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. 62G05,62G20, 62N02, 60G57, 60G50en
dc.language.isoende
dc.subjectEmpirical processen
dc.subjectHazard rateen
dc.subjectKernel smoothingen
dc.subjectLeft-truncationen
dc.subjectRight-censoringen
dc.subject.ddc004-
dc.titleStrong consistency for delta sequence ratiosen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
TR_20-Weissbach.pdfDNB109.73 kBAdobe PDFView/Open


This item is protected by original copyright



This item is protected by original copyright rightsstatements.org