Classification and Regression Trees Leo Breiman, Consultant, Berkeley, California, USA; Jerome Friedman, Stanford University, California, USA; Charles J. Stone, University of California, Berkeley, USA; R.A. Olshen, Stanford, California, USA
Price:$83.95 Cat. #: C4841 ISBN: 9780412048418 ISBN 10: 0412048418 Publication Date: January 01, 1984
Number of Pages: 368
Availability: In Stock
Binding(s): Paperback
Practical Risk Theory for Actuaries C.D. Daykin, The Government Actuary; T. Pentikainen; Martti Pesonen, Industrial Insurance, Helsinki, Finland Publication Date: December 01, 1993 Price: $134.95
Summary
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.
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.
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