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Permutation tests for equality of distributions in high-dimensional settings

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Hall, Peter; Tajvidi, Nader

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Motivated by applications in high-dimensional settings, we suggest a test of the hypothesis H0 that two sampled distributions are identical. It is assumed that two independent datasets are drawn from the respective populations, which may be very general.

dc.contributor.authorHall, Peter
dc.contributor.authorTajvidi, Nader
dc.date.accessioned2015-12-13T23:24:39Z
dc.identifier.issn0006-3444
dc.identifier.urihttp://hdl.handle.net/1885/92319
dc.description.abstractMotivated by applications in high-dimensional settings, we suggest a test of the hypothesis H0 that two sampled distributions are identical. It is assumed that two independent datasets are drawn from the respective populations, which may be very general.
dc.publisherBiometrika Trust
dc.sourceBiometrika
dc.subjectKeywords: Bootstrap; Functional data analysis; Hypergeometric distribution; Hypothesis test; Local alternative; Multivariate analysis; Rank test; Resampling
dc.titlePermutation tests for equality of distributions in high-dimensional settings
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume89
dc.date.issued2002
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub23375
local.type.statusPublished Version
local.contributor.affiliationHall, Peter, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationTajvidi, Nader, College of Physical and Mathematical Sciences, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage359
local.bibliographicCitation.lastpage374
local.identifier.doi10.1093/biomet/89.2.359
dc.date.updated2015-12-12T09:21:22Z
local.identifier.scopusID2-s2.0-22944460361
CollectionsANU Research Publications

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