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Biometrika centenary: Nonparametrics

dc.contributor.authorHall, Peter
dc.date.accessioned2015-12-13T23:26:50Z
dc.date.issued2001
dc.date.updated2015-12-12T09:48:06Z
dc.description.abstractContributions in Biometrika to nonparametric statistics are surveyed, with particular emphasis on more recent work. It is argued that even in the journal's very early years it had interests in smoothing methods for density estimation, and in techniques for nonparametric regression, in addition to its more obvious focus on 'classical' nonparametric statistics such as ranking methods. Biometrikcfs early involvement with permutation testing has links to its contemporary work on bootstrap methods. Emphases on different types of nonparametric statistics have evolved over time, however. A rapidly increasing proportion of the journal's pages is devoted to papers that include some use of nonparametric ideas or methods.
dc.identifier.issn0006-3444
dc.identifier.urihttp://hdl.handle.net/1885/93038
dc.publisherBiometrika Trust
dc.sourceBiometrika
dc.subjectKeywords: Bandwidth; Bayesian methods; Bootstrap; Categorical data; Classification; Curve estimation; Density estimation
dc.titleBiometrika centenary: Nonparametrics
dc.typeJournal article
local.bibliographicCitation.lastpage166
local.bibliographicCitation.startpage143
local.contributor.affiliationHall, Peter, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHall, Peter, u7801145
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub26339
local.identifier.citationvolume88
local.identifier.scopusID2-s2.0-0242279615
local.type.statusPublished Version

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