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책 정보
· 분류 : 외국도서 > 경제경영 > 통계
· ISBN : 9781439800218
· 쪽수 : 256쪽
· 출판일 : 2009-05-21
목차
Introduction
Background
Classification
Classifier performance assessment
The ROC curve
Population ROC Curves
Introduction
The ROC curve
Slope of the ROC curve and optimality results
Summary indices of the ROC curve
The binormal model
Estimation
Introduction
Preliminaries: classification rule and error rates
Estimation of ROC curves
Sampling properties and confidence intervals
Estimating summary indices
Further Inference on Single Curves
Introduction
Tests of separation of P and N population scores
Sample size calculations
Errors in measurements
ROC Curves and Covariates
Introduction
Covariate adjustment of the ROC curve
Covariate adjustment of summary statistics
Incremental value
Matching in case-control studies
Comparing ROC Curves
Introduction
Comparing summary statistics of two ROC curves
Comparing AUCs for two ROC curves
Comparing entire curves
Identifying where ROC curves differ
Bayesian Methods
Introduction
General ROC analysis
Meta-analysis
Uncertain or unknown group labels
Beyond the Basics
Introduction
Alternatives to ROC curves
Convex hull ROC curves
ROC curves for more than two classes
Other issues
Design and Interpretation Issues
Introduction
Missing values
Bias in ROC studies
Choice of optimum threshold
Medical imaging
Substantive Applications
Introduction
Machine learning
Atmospheric sciences
Geosciences
Biosciences
Finance
Experimental psychology
Sociology
Appendix: ROC Software
References
Further reading suggestions appear at the end of each chapter.
