File Download

There are no files associated with this item.

Supplementary

Conference Paper: Detecting multiple outliers in one-way MANOVA

TitleDetecting multiple outliers in one-way MANOVA
Authors
Fung, TWK
Issue Date1996
Citation
Sydney International Statistical Congress, Sydney, Australia, 8-12 July 1996 How to Cite?
AbstractThe high-breakdown robust {\em S}-estimation method is proposed for the identification of multiple outliers in one-way multivariate analysis of variance. The method however may tend to detect too many observations as extreme. The adding-back approach of Fung [{\it J.\kern .16667em Amer.\kern .16667em Statist.\kern .16667em Assoc.},\kern .16667em 88\kern .16667em (1993):515-519] is employed for remedying this swamping effect problem. Some reference values are suggested for choosing between `good' and `bad' observations. The proposed method is used for analysing some real and simulated data sets. Satisfactory results are obtained.
Persistent Identifierhttp://hdl.handle.net/10722/110232

 

DC FieldValueLanguage
dc.contributor.authorFung, TWKen_HK
dc.date.accessioned2010-09-26T01:56:54Z-
dc.date.available2010-09-26T01:56:54Z-
dc.date.issued1996en_HK
dc.identifier.citationSydney International Statistical Congress, Sydney, Australia, 8-12 July 1996-
dc.identifier.urihttp://hdl.handle.net/10722/110232-
dc.description.abstractThe high-breakdown robust {\em S}-estimation method is proposed for the identification of multiple outliers in one-way multivariate analysis of variance. The method however may tend to detect too many observations as extreme. The adding-back approach of Fung [{\it J.\kern .16667em Amer.\kern .16667em Statist.\kern .16667em Assoc.},\kern .16667em 88\kern .16667em (1993):515-519] is employed for remedying this swamping effect problem. Some reference values are suggested for choosing between `good' and `bad' observations. The proposed method is used for analysing some real and simulated data sets. Satisfactory results are obtained.-
dc.languageengen_HK
dc.relation.ispartofSydney International Statistical Congressen_HK
dc.titleDetecting multiple outliers in one-way MANOVAen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailFung, TWK: wingfung@hku.hken_HK
dc.identifier.authorityFung, TWK=rp00696en_HK
dc.identifier.hkuros26917en_HK

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats