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dc.contributor.authorSharipov, Olimjon Sh.-
dc.contributor.authorTewes, Johannes-
dc.contributor.authorWendler, Martin-
dc.date.accessioned2015-06-01T12:03:46Z-
dc.date.available2015-06-01T12:03:46Z-
dc.date.issued2015-
dc.identifier.urihttp://hdl.handle.net/2003/34103-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5248-
dc.description.abstractBootstrap for nonlinear statistics like U-statistics of dependent data has been studied by several authors. This is typically done by producing a bootstrap version of the sample and plugging it into the statistic. We suggest an alternative approach of getting a bootstrap version of U-statistics, which can be described as a compromise between bootstrap and subsampling. We will show the consistency of the new method and compare its finite sample properties in a simulation study.en
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;15/2015en
dc.subjectMixing Processesen
dc.subjectSubsamplingen
dc.subjectBootstrapen
dc.subjectU-Statisticsen
dc.subject.ddc310-
dc.subject.ddc330-
dc.subject.ddc620-
dc.titleBootstrap for U-Statistics: A new approachen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access-
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