Nonparametric analysis of fingerprint data on large data sets

DOI10.1016/j.patcog.2006.11.021zbMath1118.68644OpenAlexW2093384743MaRDI QIDQ885216

Charles L. Wilson, Jin Chu Wu

Publication date: 8 June 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.11.021

zbMATH Keywords

Mann-Whitney statisticnonparametric analysissignificance testreceiver operating characteristic (ROC) curvefingerprint matching

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (4)

Monte Carlo studies of bootstrap variability in ROC analysis with data dependency ⋮ An online AUC formulation for binary classification ⋮ Bootstrap Variability Studies in ROC Analysis on Large Datasets ⋮ Validation of Nonparametric Two-sample Bootstrap in ROC Analysis on Large Datasets

Cites Work

• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
• Construction and Comparison of Two Receiver Operating Characteristic Curves Derived from the Same Samples
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