Classification and Regression Trees

Framsida
Routledge, 19 okt. 2017 - 368 sidor
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.
 

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Preface
INTRODUCTION TO TREE CLASSIFICATION
RIGHT SIZED TREES AND HONESTESTIMATES
SPLITTING RULES
STRENGTHENING AND INTERPRETING
MEDICAL DIAGNOSIS AND PROGNOSIS
MASS SPECTRA CLASSIFICATION
BAYES RULES AND PARTITIONS
CONSTRUCTION OF TREES FROM A LEARNING SAMPLE
Bibliography
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