Classification and regression trees

著者

• Breiman, Leo

書誌事項

Classification and regression trees

Leo Breiman ... [et al.]

Chapman & Hall/CRC, [2023]

タイトル別名

Regression trees

注記

Bibliography: p. 342-346

Includes indexes

Originally published: 1984

内容説明・目次

内容説明

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.

目次

Preface, Chapter 1 BACKGROUND, Chapter 2 INTRODUCTION TO TREE CLASSIFICATION, Chapter 3 RIGHT SIZED TREES AND HONEST ESTIMATES, Chapter 4 SPLITTING RULES, Chapter 5 STRENGTHENING AND INTERPRETING, Chapter 6 MEDICAL DIAGNOSIS AND PROGNOSIS, Chapter 7 MASS SPECTRA CLASSIFICATION, Chapter 8 REGRESSION TREE, Chapter 9 BAYES RULES AND PARTITIONS, Chapter 10 OPTIMAL PRUNING, Chapter 11 CONSTRUCTION OF TREES FROM A LEARNING SAMPLE, Chapter 12 CONSISTENCY, Bibliography, Notation Index, Subject Index

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BD04225700
• ISBN:
  • 9780412048418
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton
• ページ数/冊数: x, 358 p.
• 大きさ: 24 cm
• 分類:
  • LCC : QA278.65
  • DC19 : 519.5/36
• 件名:
  • LCSH : Discriminant analysis
  • LCSH : Regression analysis
  • LCSH : Trees (Graph theory)