Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22558 
Year of Publication: 
2004
Series/Report no.: 
Technical Report No. 2004,45
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
The aim of this paper is to extract mathematically talented students out of a group of arbitrary high school students. We do this by applying a stepwise discriminant analysis modified for ordinal data to the results of German high school students at the international mathematics competition ?Kangaroo of Mathematics?. It turns out that three of the thirty given problems are enough to discriminate between laureates, which we assume to be mathematically talented, and non-laureates. The three chosen problems are from different mathematical fields.
Subjects: 
Discriminant analysis for ordinal data
discrete kernel estimation
testing mathematical talent
multiple choice competition
Document Type: 
Working Paper

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