``Proper binormal ROC curves: Theory and maximum-likelihood estimation

DOI10.1006/jmps.1998.1218zbMath0920.62138OpenAlexW1963790578WikidataQ52215350 ScholiaQ52215350MaRDI QIDQ1283550

Charles E. Metz, Xiaochuan Pan

Publication date: 5 September 1999

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmps.1998.1218

zbMATH Keywords

maximum likelihood estimationROC analysisbinormal model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Mathematical psychology (91E99) Applications of statistics to psychology (62P15)

Related Items

Logistic regression analysis with standardized markers, The fundamental role of density functions in the binary classification problem, Concentration and ROC curves, revisited, ROC convex hull and nonparametric maximum likelihood estimation, Two-sample models with monotonic likelihood ratios for ordinal regression, The three-class ideal observer for univariate normal data: decision variable and ROC surface properties, Nonparametric Estimation and Hypothesis Testing on the Partial Area Under Receiver Operating Characteristic Curves, Nonparametric estimation of the threshold at an operating point on the ROC curve, Regression Models for Convex ROC Curves, ROC curve estimation based on local smoothing, Estimation of a convex ROC curve.

Uses Software

• BRENT

Cites Work

• Measuring the Accuracy of Diagnostic Systems
• Quasi-Newton Methods, Motivation and Theory
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