Elliptically Contoured Models in Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F07%3A00032420" target="_blank" >RIV/00216224:14310/07:00032420 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Elliptically Contoured Models in Classification
Original language description
This paper demonstrates that linear and quadratic discriminant decision rules of classifying observation as coming from one of several multivariate normal distribution can be construct for much broader classes of multivariate distributions such as elliptically contoured distributions (ECDs). The performance of a binary (two-groups) classifier with continuous output is often evaluated with receiver operating characteristic (ROC) curve analysis, which yields indices of accuracy such as the area under thecurve (AUC). The most common method of ROC analysis is based on the bi-normal model. In this paper the attention is concerned with a more general fully parameterized bi-distributional model assuming elliptically contoured distributions (ECD).
Czech name
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Czech description
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Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
S.Co.2007 Book of short papers (Complex Models and Computational Intensive Methods for Estimation and Prediction)
ISBN
978-88-6129-114-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
CLEUP Editore
Place of publication
Venice, Italy
Event location
Venice, Italy
Event date
Jan 1, 2007
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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