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 |
Files in This Item:
File | Description | Size | Format | |
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tr41-05.pdf | DNB | 111.76 kB | Adobe PDF | View/Open |
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