Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/209
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHuskova, Marie-
dc.contributor.authorJANSSEN, Paul-
dc.date.accessioned2004-08-30T08:00:27Z-
dc.date.available2004-08-30T08:00:27Z-
dc.date.issued1993-
dc.identifier.citationStatist. Prob. Letters, 16(3), p. 225-233-
dc.identifier.urihttp://hdl.handle.net/1942/209-
dc.description.abstractThe notion of generalized bootstrapping is introduced in Mason and Newton (1992). The study the consistency of generalized bootstrapped means. We extend the validity of the generalized bootstrap to the case of U-statistics and studentized U-statistics. From the proofs it will become clear that the rank statistic methodology is a powerful tool that provides a unified approach to handle different resampling schemes-
dc.language.isoen-
dc.subjectMathematical Statistics-
dc.titleGeneralized bootstrap for studentized U-statistics: a rank statistic approach-
dc.typeJournal Contribution-
dc.identifier.epage233-
dc.identifier.issue3-
dc.identifier.spage225-
dc.identifier.volume16-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1016/0167-7152(93)90147-B-
item.fullcitationHuskova, Marie & JANSSEN, Paul (1993) Generalized bootstrap for studentized U-statistics: a rank statistic approach. In: Statist. Prob. Letters, 16(3), p. 225-233.-
item.fulltextNo Fulltext-
item.contributorHuskova, Marie-
item.contributorJANSSEN, Paul-
item.accessRightsClosed Access-
Appears in Collections:Research publications
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.