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Distribution-Function-Based Bivariate Quantiles

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Chen, L-A; Welsh, Alan

Description

We introduce bivariate quantiles which are defined through the bivariate distribution function. This approach ensures that, unlike most multivariate medians or the multivariate M-quartiles, the bivariate quantiles satisfy an analogous property to that of

dc.contributor.authorChen, L-A
dc.contributor.authorWelsh, Alan
dc.date.accessioned2015-12-10T23:30:32Z
dc.identifier.issn0047-259X
dc.identifier.urihttp://hdl.handle.net/1885/68240
dc.description.abstractWe introduce bivariate quantiles which are defined through the bivariate distribution function. This approach ensures that, unlike most multivariate medians or the multivariate M-quartiles, the bivariate quantiles satisfy an analogous property to that of
dc.publisherAcademic Press
dc.sourceJournal of Multivariate Analysis
dc.subjectBivariate extreme
dc.subjectBivariate median
dc.subjectBivariate quantile
dc.subjectBivariate quantile curve
dc.subjectBivariate trimmed mean
dc.titleDistribution-Function-Based Bivariate Quantiles
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume83
dc.date.issued2002
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub1655
local.type.statusPublished Version
local.contributor.affiliationChen, L-A, National Chiao Tung University
local.contributor.affiliationWelsh, Alan, College of Physical and Mathematical Sciences, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage208
local.bibliographicCitation.lastpage231
local.identifier.doi10.1006/jmva.2001.2043
dc.date.updated2015-12-10T11:08:16Z
local.identifier.scopusID2-s2.0-0036796999
CollectionsANU Research Publications

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