ROC curve estimation based on local smoothing
From MaRDI portal
Publication:2774410
DOI10.1080/00949650108812107zbMath0985.62030OpenAlexW2078121434MaRDI QIDQ2774410
Publication date: 23 May 2002
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949650108812107
incomplete beta functionROC curvesdiagnostic testempirical estimatorsquantile estimatorskernel distribution function estimator
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (5)
ROC Curves in Non-Parametric Location-Scale Regression Models ⋮ Modelling receiver operating characteristic curves using Gaussian mixtures ⋮ Improved methods for bandwidth selection when estimating ROC curves. ⋮ Confidence bands for ROC curves ⋮ Nonparametric estimation of conditional ROC curves: application to discrimination tasks in computerized detection of early breast cancer
Cites Work
- ``Proper binormal ROC curves: Theory and maximum-likelihood estimation
- Bandwidth selection for kernel distribution function estimation
- Comparison of Quantile Estimators in Normal Sampling
- Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
- Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
- Efficient Estimation of a Distribution Function under Quadrant Dependence
- A new distribution-free quantile estimator
- Evaluation of Confounding Effects in ROC Studies
- A comparison of quantile estimators
This page was built for publication: ROC curve estimation based on local smoothing