ROC Curve Estimation Using the Combination of Generalized Half Normal and Weibull Distributions-Reference-Cited by-同舟云学术

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ROC Curve Estimation Using the Combination of Generalized Half Normal and Weibull Distributions

Published:2016-05-17 Issue:1 Volume:17 Page:11-23
ISSN:2364-9569
Container-title:Journal of the Indian Society for Probability and Statistics
language:en
Short-container-title:J Indian Soc Probab Stat

Author:

Balaswamy S.,Vishnu Vardhan R.

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1007/s41096-016-0003-7.pdf

Reference15 articles.

1. Arne H, Ott T (2011) MaxLik: a package for maximum likelihood estimation in R. Comput Stat 26(3):443–458

2. Balaswamy S, Vishnu Vardhan R, Rao MB (2014) A divergence measure for STROC curve in binary classification. J Adv Comput 3(2):68–81

3. Balaswamy S, Vishnu Vardhan R, Sarma KVS (2015) The hybrid ROC (HROC) curve and its divergence measures for binary classification. Int J Stat Med Res 4(1):94–102

4. Bamber D (1975) The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J Math Psychol 12:387–415

5. Cover TM, Thomas JA (1991) Elements of information theory. Wiley, New York

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1. Estimation of the area under the ROC curve for non-normal data;Communications in Statistics: Case Studies, Data Analysis and Applications;2022-05-13

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