Table of Contents

Introduction
Two Types of Tree Models
Algorithms for Fitting Trees to Data
Practical Issues and Applications
Some Extensions of Tree Models
Discussions and Conclusions
Appendix A: Mathematical Programming
Appendix B: Availability of Software for Fitting Trees
Appendix C: Estimating Fit of a Tree Using Multiple Regression

About the Author

Scholarly Interests

Computational models of human learning and categorization.  Judgment and decision-making. Clustering and scaling methods for multivariate data.  Statistics expertise and probability problem-solving.  Evaluation of educational technology innovations.