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September 1, 1984Biometrics

Classification and Regression Trees.

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Authors

AGAlexander GordonUniversity of North Carolina at CharlotteLBLeo BreimanTechnology Service Corporation (United States)JFJerome H. FriedmanPennsylvania State University

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Overview

Monograph examines tree structured rules for data analysis, shedding light on theoretical aspects.

Key Points

  • The aim is to explore the methodology for constructing tree structured rules in data analysis.
  • Developed a comprehensive overview of tree methods in data analysis.
  • Analyzed both practical applications and theoretical foundations.
  • Proved fundamental properties of tree structures.
  • Highlighted the unique transition of tree methods from theoretical to practical applications.
  • Established important mathematical properties of classification and regression trees.
  • Demonstrated the efficiency of tree methods in statistical procedures.

Cite This Study

Gordon et al. (1984) studied this question.

synapsesocial.com/papers/697a49aefc2ec97650bea215https://doi.org/10.2307/2530946
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