Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22631
Authors: 
Weihs, Claus
Luebke, Karsten
Year of Publication: 
2005
Series/Report no.: 
Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2005,41
Abstract: 
Linear Discriminant Analysis (LDA) performs well for classifica- tion 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.
Document Type: 
Working Paper

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