Extensions of Bi-normal ROC Analysis to Bi-ECD Case
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F07%3A00033153" target="_blank" >RIV/00216224:14310/07:00033153 - 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
Extensions of Bi-normal ROC Analysis to Bi-ECD Case
Original language description
Receiver operating characteristic (ROC) analysis, which yields indices of accuracy such as the area under the curve (AUC), is increasingly being used to evaluate the performances of a two-class classifier that produce results on continuous scales. 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). This family includes as particular cases the following distributions: the normal, the t-Student, the Pearson type II and VII, the Kotz type, the logistic, the Laplace (also so-called double exponential), the contaminated normal, among many others.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2007
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 06
ISBN
978-80-210-4493-7
ISSN
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e-ISSN
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Number of pages
18
Pages from-to
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Publisher name
Masaryk University
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2007
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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