Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6067
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNkansah, B.K.-
dc.contributor.authorGordor, B.K.-
dc.date.accessioned2021-09-08T11:16:39Z-
dc.date.available2021-09-08T11:16:39Z-
dc.date.issued2012-
dc.identifier.issn23105496-
dc.identifier.urihttp://hdl.handle.net/123456789/6067-
dc.description11p:, ill.en_US
dc.description.abstractA method of displaying an outlier in a multivariate data set is the Outlier Displaying Component. This method is based on the sample mean vector and the sum of squares and cross- product matrix. The main weakness of this method is that both of these measures involve the very outlier that is being detected. This paper presents an approach to eliminating this weakness. By eliminating the outlier from the sample mean vector and the sum of squares and cross-product matrix, the proposed method combines a number of advantages: It enhances the separation of the outlier from the rest of the data so that it appears more distinct. It also increases the general dispersion in the projected data so that the presence of multiple outliers could be revealeden_US
dc.language.isoenen_US
dc.publisherUniversity of Cape Coasten_US
dc.titleOn the one-outlier displaying componenten_US
dc.typeArticleen_US
Appears in Collections:Department of Mathematics & Statistics

Files in This Item:
File Description SizeFormat 
On the One-Outlier Displaying Component.pdfArticle204.61 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.