Bahadur representation for U-Quantiles of dependent data

dc.contributor.authorWendler, Martin
dc.date.accessioned2010-04-26T10:17:39Z
dc.date.available2010-04-26T10:17:39Z
dc.date.issued2010-04-26T10:17:39Z
dc.description.abstractU-quantiles are applied in robust statistics, like the Hodges-Lehmann estimator of location for example. They have been analyzed in the case of independent random variables with the help of a generalized Bahadur representation. Our main aim is to extend these results to U-quantiles of strongly mixing random variables and functionals of absolutely regular sequences. We obtain the central limit theorem and the law of the iterated logarithm for U-quantiles as straightforward corollaries. Furthermore, we improve the existing result for sample quantiles of mixing data.en
dc.identifier.urihttp://hdl.handle.net/2003/27122
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-8412
dc.language.isoen
dc.relation.ispartofseriesDiscussion Paper / SFB 823;11/2010en
dc.subjectAbsolute regularityen
dc.subjectQuantiles absolute regularityen
dc.subjectStrong mixingen
dc.subjectU-statisticsen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleBahadur representation for U-Quantiles of dependent dataen
dc.typeText
dc.type.publicationtypereport
dcterms.accessRightsopen access

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