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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.
  • 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. (en)
Title
  • Extensions of Bi-normal ROC Analysis to Bi-ECD Case
  • Extensions of Bi-normal ROC Analysis to Bi-ECD Case (en)
skos:prefLabel
  • Extensions of Bi-normal ROC Analysis to Bi-ECD Case
  • Extensions of Bi-normal ROC Analysis to Bi-ECD Case (en)
skos:notation
  • RIV/00216224:14310/07:00033153!RIV10-MSM-14310___
http://linked.open...avai/riv/aktivita
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  • S
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  • 421444
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  • RIV/00216224:14310/07:00033153
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  • multivariate elliptically contoured distribution (ECD); receiver operating characteristic (ROC) analysis; area under the ROC curve (AUC); bi-distributional model; bi-normal model; bi-ECD model (en)
http://linked.open.../riv/klicoveSlovo
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  • [7901A4EC59CB]
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  • Brno
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  • Brno
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  • Summer School DATASTAT 06
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http://linked.open...UplatneniVysledku
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  • Forbelská, Marie
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Masaryk University
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  • 978-80-210-4493-7
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  • 14310
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