A Comparison of Some Parametric and Nonparametric Discrimination Procedures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F02%3A00007723" target="_blank" >RIV/00216224:14310/02:00007723 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Comparison of Some Parametric and Nonparametric Discrimination Procedures
Original language description
This article compares the performance of parametric and nonparametric discrimination. After a brief description of the discriminant analysis problem the parametric and nonparametric approaches are described. The multivariate product Gaussian and polynomial kernels with various datadriven choices of the bandwidth are used for density estimators and this nonparametric approaches are compared with classical one by some real data. Overall percentages of the misclassification and computer time are used as the measure of performance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Summer School DATASTAT 01 Folia Facultatis Scientiarum Naturalium Universitatis Masarykianae Brunensis
ISBN
80-210-3028-3
ISSN
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e-ISSN
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Number of pages
29
Pages from-to
53-81
Publisher name
FOLIA, Masaryk University, Faculty of Science, Mathematica 11
Place of publication
Brno
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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