Simultaneous identification of influential subsets and variable selection using quantabilities

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dc.contributor.authorVan Vuuren J.O.
dc.date.accessioned2011-05-15T16:02:31Z
dc.date.available2011-05-15T16:02:31Z
dc.date.issued2005
dc.description.abstractIdeally, outlier detection and variable selection should be dealt with at the same time. Literature, however, proposes only a few practical procedures for handling this problem. A procedure is proposed where dummy variables, variable selection, and a simple selection rule are used to find an optimal model which includes the relevant predictors and excludes the outliers influential on the fit.
dc.description.versionArticle
dc.identifier.citationSouth African Statistical Journal
dc.identifier.citation39
dc.identifier.citation1
dc.identifier.issn0038271X
dc.identifier.urihttp://hdl.handle.net/10019.1/12507
dc.titleSimultaneous identification of influential subsets and variable selection using quantabilities
dc.typeArticle
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