EconPapers    
Economics at your fingertips  
 

Some Remarks about the Usage of Asymmetric Correlation Measurements for the Induction of Decision Trees

Andreas Hilbert

No 180, Arbeitspapiere zur mathematischen Wirtschaftsforschung from Universität Augsburg, Institut für Statistik und Mathematische Wirtschaftstheorie

Abstract: Decision trees are used very successfully for the identification resp. classification task of objects in many domains like marketing (e.g. Decker, Temme (2001)) or medicine. Other procedures to classify objects are for instance the logistic regression, the logit- or probit analysis, the linear or squared discriminant analysis, the nearest neighbour procedure or some kernel density estimators. The common aim of all these classification procedures is to generate classification rules which describe the correlation between some independent exogenous variables resp. attributes and at least one endogenous variable, the so called class membership variable.

Date: 2002
References: View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/22816/1/Heft180.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:augamw:180

Access Statistics for this paper

More papers in Arbeitspapiere zur mathematischen Wirtschaftsforschung from Universität Augsburg, Institut für Statistik und Mathematische Wirtschaftstheorie Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().

 
Page updated 2018-11-24
Handle: RePEc:zbw:augamw:180