Authors: Luebke, K.
Weihs, Claus
Title: Prediction Optimal Classification of Business Phases
Language (ISO): en
Abstract: Linear 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.
Subject Headings: Business phases
Classification
Classification performance
Computer-intensive prediction oriented method
Linear Discriminant Analysis
URI: http://hdl.handle.net/2003/21642
http://dx.doi.org/10.17877/DE290R-14499
Issue Date: 2005-10-12T06:56:27Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

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