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dc.contributor.authorGebel, Meikede
dc.contributor.authorSibbertsen, Philippde
dc.date.accessioned2004-12-06T18:39:36Z-
dc.date.available2004-12-06T18:39:36Z-
dc.date.issued2004de
dc.identifier.urihttp://hdl.handle.net/2003/4916-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-6825-
dc.description.abstractThe 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.en
dc.format.extent113942 bytes-
dc.format.extent308435 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectdiscriminant analysis for ordinal dataen
dc.subjectdiscrete kernel estimationen
dc.subjecttesting mathematical talenten
dc.subjectmultiple choice competitionen
dc.subject.ddc310de
dc.titleRecognizing Mathematical Talent - An Approach Using Discriminant Analysisen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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