Page 9 - Computational Statistics Handbook with MATLAB

Table of Contents xi

8.7 Further Reading
Exercises

Chapter 9
Statistical Pattern Recognition
9.1 Introduction
9.2 Bayes Decision Theory
Estimating Class-Conditional Probabilities: Parametric Method
Estimating Class-Conditional Probabilities: Nonparametric
Bayes Decision Rule
Likelihood Ratio Approach
9.3 Evaluating the Classifier
Independent Test Sample
Cross-Validation
Receiver Operating Characteristic (ROC) Curve
9.4 Classification Trees
Growing the Tree
Pruning the Tree
Choosing the Best Tree
Selecting the Best Tree Using an Independent Test Sample
Selecting the Best Tree Using Cross-Validation
9.5 Clustering
Measures of Distance
Hierarchical Clustering
K-Means Clustering
9.6 MATLAB Code
9.7 Further Reading
Exercises

Chapter 10
Nonparametric Regression
10.1 Introduction
10.2 Smoothing
Loess
Robust Loess Smoothing
Upper and Lower Smooths
10.3 Kernel Methods
Nadaraya-Watson Estimator
Local Linear Kernel Estimator
10.4 Regression Trees
Growing a Regression Tree
Pruning a Regression Tree
Selecting a Tree
10.5 MATLAB Code
10.6 Further Reading

© 2002 by Chapman & Hall/CRC