by Leo Breiman, Jerome Friedman, Charles J. Stone, R.A. Olshen

Publication Date: January 1, 1984
ISBN-10: 0412048418
ISBN-13: 978-0412048418


The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

Chapter 1 BACKGROUND
Chapter 2 INTRODUCTION TO TREE CLASSIFICATION
Chapter 3 RIGHT SIZED TREES AND HONEST ESTIMATES
Chapter 4 SPLITTING RULES
Chapter 5 STRENGTHENING AND INTERPRETING
Chapter 6 MEDICAL DIAGNOSIS AND PROGNOSIS
Chapter 7 MASS SPECTRA CLASSIFICATION
Chapter 8 REGRESSION TREES
Chapter 9 BAYES RULES AND PARTITIONS
Chapter 10 OPTIMAL PRUNING
Chapter 11 CONSTRUCTION OF TREES FROM A LEARING SAMPLE
Chapter 12 CONSISTENCY

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