Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/162
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dc.contributor.authorJANSSEN, Paul-
dc.contributor.authorVERAVERBEKE, Noel-
dc.date.accessioned2004-08-27T12:42:04Z-
dc.date.available2004-08-27T12:42:04Z-
dc.date.issued1992-
dc.identifier.citationCommunications in statistics A, 21(6). p. 1585-1604-
dc.identifier.urihttp://hdl.handle.net/1942/162-
dc.description.abstractWe prove consistency of the bootstrap estimator for the distribution function of a U - statistic whose kernel contains an estimated parameter. The result easily applies to large classes of statistics studied previously in testing and estimation situations : U- statistics based on trimmed samples or on location aligned samples.-
dc.language.isoen-
dc.subjectMathematical Statistics-
dc.subjectNon and semiparametric methods-
dc.titleBootstrapping U-statistics with estimated parameters-
dc.typeJournal Contribution-
dc.identifier.epage1604-
dc.identifier.issue6-
dc.identifier.spage1585-
dc.identifier.volume21-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1080/03610929208830866-
item.accessRightsClosed Access-
item.fullcitationJANSSEN, Paul & VERAVERBEKE, Noel (1992) Bootstrapping U-statistics with estimated parameters. In: Communications in statistics A, 21(6). p. 1585-1604.-
item.fulltextNo Fulltext-
item.contributorJANSSEN, Paul-
item.contributorVERAVERBEKE, Noel-
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