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Article: Multivariate discrete density estimation using kernel densities

TitleMultivariate discrete density estimation using kernel densities
Authors
Issue DateJun-1992
PublisherUniversity of Hong Kong. Dept. of Statistics.
Citation
Research Report, n. 15, p. 1-6 How to Cite?
AbstractDespite intensive recent research into density estimation little attention seems to have been paid to its possible use in describing patterns of variability of univariate or multivariate counts. This paper discusses the relative merits of a number of possible kernels, and illustrates their application to univariate and bivariate count data.
Persistent Identifierhttp://hdl.handle.net/10722/60983

 

DC FieldValueLanguage
dc.contributor.authorBacon-Shone, J-
dc.contributor.authorAitchison, J-
dc.date.accessioned2010-06-02T06:03:02Z-
dc.date.available2010-06-02T06:03:02Z-
dc.date.issued1992-06-
dc.identifier.citationResearch Report, n. 15, p. 1-6en_HK
dc.identifier.urihttp://hdl.handle.net/10722/60983-
dc.description.abstractDespite intensive recent research into density estimation little attention seems to have been paid to its possible use in describing patterns of variability of univariate or multivariate counts. This paper discusses the relative merits of a number of possible kernels, and illustrates their application to univariate and bivariate count data.en_HK
dc.language.isoengen_HK
dc.publisherUniversity of Hong Kong. Dept. of Statistics.en_HK
dc.relation.ispartofResearch Report-
dc.rightsAuthor holds the copyright-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleMultivariate discrete density estimation using kernel densitiesen_HK
dc.typeArticleen_HK
dc.description.naturepostprint-

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