Abstract
We present formal definitions of two commonly observed asymmetries in a concave receiver
operating characteristic curve. The main theorem of the paper proves that the Kullback–
Leibler divergences between the underlying signal and noise variables are ordered
based on these asymmetries. This result is true for any continuous distributions of the signal
and noise variables.
© 2015 Elsevier B.V. All rights reserved.
Original language | English |
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Pages (from-to) | 73 - 79 |
Number of pages | 7 |
Journal | Statistics and Probability Letters |
Volume | 103 |
DOIs | |
Publication status | First published - 2015 |
Bibliographical note
1023370Keywords
- Asymmetry
- Entropy
- Kullback-Leibler divergence
- ROC
- Relative distributions