Skip to main content
Taylor & Francis Group Logo
    Advanced Search

    Click here to search products using title name,author name and keywords.

    • Login
    • Hi, User  
      • Your Account
      • Logout
      Advanced Search

      Click here to search products using title name,author name and keywords.

      Breadcrumbs Section. Click here to navigate to respective pages.

      Book

      Classification And Regression Trees
      loading

      Book

      Classification And Regression Trees

      DOI link for Classification And Regression Trees

      Classification And Regression Trees book

      Classification And Regression Trees

      DOI link for Classification And Regression Trees

      Classification And Regression Trees book

      ByLeo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone
      Edition 1st Edition
      First Published 1984
      eBook Published 25 October 2017
      Pub. Location New York
      Imprint Routledge
      DOI https://doi.org/10.1201/9781315139470
      Pages 368
      eBook ISBN 9781315139470
      Subjects Mathematics & Statistics
      Share
      Share

      Get Citation

      Breiman, L., Friedman, J.H., Olshen, R.A., & Stone, C.J. (1984). Classification And Regression Trees (1st ed.). Routledge. https://doi.org/10.1201/9781315139470

      ABSTRACT

      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.

      TABLE OF CONTENTS

      chapter 1|17 pages

      Background

      chapter 2|41 pages

      Introduction To Tree Classification

      chapter 3|34 pages

      Right Sized Trees and Honest Estimates

      chapter 4|37 pages

      Splitting Rules

      chapter 5|44 pages

      Strengthening and Interpreting

      chapter 6|29 pages

      Medical Diagnosis and Prognosis

      chapter 7|13 pages

      Mass Spectra Classification

      chapter 8|50 pages

      Regression Trees

      chapter 9|13 pages

      Bayes Rules and Partitions

      chapter 10|18 pages

      Optimal Pruning

      chapter 11|21 pages

      Construction of Trees from a Learning Sample

      chapter 12|24 pages

      Consistency

      T&F logoTaylor & Francis Group logo
      • Policies
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
      • Journals
        • Taylor & Francis Online
        • CogentOA
        • Taylor & Francis Online
        • CogentOA
      • Corporate
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
      • Help & Contact
        • Students/Researchers
        • Librarians/Institutions
        • Students/Researchers
        • Librarians/Institutions
      • Connect with us

      Connect with us

      Registered in England & Wales No. 3099067
      5 Howick Place | London | SW1P 1WG © 2022 Informa UK Limited