Prediction Optimal Classification of Business Phases

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dc.contributor.authorLuebke, K.
dc.contributor.authorWeihs, Claus
dc.date.accessioned2005-10-12T06:56:27Z
dc.date.available2005-10-12T06:56:27Z
dc.date.issued2005-10-12T06:56:27Z
dc.description.abstractLinear Discriminant Analysis (LDA) performs well for classification of business phases – even though the premises of an LDA are not met. As the variables are highly correlated there are numerical as well as interpretational shortcomings. By transforming the classification problem to a regression setting both problems can be addressed by a computer-intensive prediction oriented method which also improves the classification performance.en
dc.format.extent114441 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2003/21642
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14499
dc.language.isoen
dc.subjectBusiness phasesen
dc.subjectClassificationen
dc.subjectClassification performanceen
dc.subjectComputer-intensive prediction oriented methoden
dc.subjectLinear Discriminant Analysisen
dc.subject.ddc004
dc.titlePrediction Optimal Classification of Business Phasesen
dc.typeText
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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