Classification and Regression Trees
By Leo Breiman, Jerome Friedman, Charles J. Stone, R.A. Olshen
Published January 1st 1984 by Chapman and Hall/CRC – 368 pages
Description
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.
Contents
Background. Introduction to Tree Classification. Right Sized Trees and Honest Estimates. Splitting Rules. Strengthening and Interpreting. Medical Diagnosis and Prognosis. Mass Spectra Classification. Regression Trees. Bayes Rules and Partitions. Optimal Pruning. Construction of Trees from a Learning Sample. Consistency. Bibliography. Notation Index. Subject Index.
Name: Classification and Regression Trees (Paperback) – Chapman and Hall/CRC
Description: By Leo Breiman, Jerome Friedman, Charles J. Stone, R.A. Olshen. 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...
Categories: Statistical Theory & Methods, Statistics & Computing, Quantitative Methods
