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Article: Quasi-Bayesian modelling of multivariate outliers

TitleQuasi-Bayesian modelling of multivariate outliers
Authors
Fung, WKBaconShone, J
KeywordsAIC
Akaike's predictive likelihood
Correlation.
Multivariate outliers
Quasi-Bayesian
Issue Date1993
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/csda
Citation
Computational Statistics And Data Analysis, 1993, v. 16 n. 3, p. 271-278 How to Cite?
AbstractA quasi-Bayesian approach using the Akaike's predictive likehood is proposed for the analysis of multivariate outliers. The method deals with the dimensionality problem arising from outlier models having different numbers of parameters, in the sense that models with extra parameters are penalized. It is applied with satisfactory results for the analysis of a data set on costs of transportation of milk. © 1993.
Persistent Identifierhttp://hdl.handle.net/10722/172371
ISSN
0167-9473
2022 Impact Factor: 1.8
2020 SCImago Journal Rankings: 1.093
ISI Accession Number ID
WOS:A1993LW65400002

 

DC FieldValueLanguage
dc.contributor.authorFung, WKen_HK
dc.contributor.authorBaconShone, Jen_HK
dc.date.accessioned2012-10-30T06:22:11Z-
dc.date.available2012-10-30T06:22:11Z-
dc.date.issued1993en_HK
dc.identifier.citationComputational Statistics And Data Analysis, 1993, v. 16 n. 3, p. 271-278en_HK
dc.identifier.issn0167-9473en_HK
dc.identifier.urihttp://hdl.handle.net/10722/172371-
dc.description.abstractA quasi-Bayesian approach using the Akaike's predictive likehood is proposed for the analysis of multivariate outliers. The method deals with the dimensionality problem arising from outlier models having different numbers of parameters, in the sense that models with extra parameters are penalized. It is applied with satisfactory results for the analysis of a data set on costs of transportation of milk. © 1993.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/csdaen_HK
dc.relation.ispartofComputational Statistics and Data Analysisen_HK
dc.subjectAICen_HK
dc.subjectAkaike's predictive likelihooden_HK
dc.subjectCorrelation.en_HK
dc.subjectMultivariate outliersen_HK
dc.subjectQuasi-Bayesianen_HK
dc.titleQuasi-Bayesian modelling of multivariate outliersen_HK
dc.typeArticleen_HK
dc.identifier.emailFung, WK: wingfung@hku.hken_HK
dc.identifier.emailBaconShone, J: johnbs@hku.hken_HK
dc.identifier.authorityFung, WK=rp00696en_HK
dc.identifier.authorityBaconShone, J=rp00056en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0027869015en_HK
dc.identifier.volume16en_HK
dc.identifier.issue3en_HK
dc.identifier.spage271en_HK
dc.identifier.epage278en_HK
dc.identifier.isiWOS:A1993LW65400002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridFung, WK=13310399400en_HK
dc.identifier.scopusauthoridBaconShone, J=6602137416en_HK
dc.identifier.issnl0167-9473-

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