Classification and Regression Trees.

Alexander Gordon; Leo Breiman; Jerome H. Friedman; Richard A. Olshen; C. J. Stone · Biometrics · 1984

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Author / responsible party

Alexander Gordon; Leo Breiman; Jerome H. Friedman; Richard A. Olshen; C. J. Stone

Publisher

Biometrics

Year

1984

Language

English

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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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APA 7

Gordon, A, Breiman, L, Friedman, J. H, Olshen, R. A, & Stone, C. J. (1984). Classification and Regression Trees. https://doi.org/10.2307/2530946

MLA

Gordon, Alexander, et al. "Classification and Regression Trees." 1984. https://doi.org/10.2307/2530946.

Chicago

Gordon, Alexander, Leo Breiman, Jerome H. Friedman, Richard A. Olshen, and C. J. Stone. 1984. "Classification and Regression Trees.". https://doi.org/10.2307/2530946.

Harvard

Gordon, A. et al. 1984, Classification and Regression Trees, Biometrics, available at: https://doi.org/10.2307/2530946 [Accessed 7 Aug. 2026].

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Resource details

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Title: Classification and Regression Trees.

Author / contributors: Alexander Gordon; Leo Breiman; Jerome H. Friedman; Richard A. Olshen; C. J. Stone

Publisher: Biometrics

Publication year: 1984

Language: English

Subjects

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Computer science; Focus (optics); Construct (python library); Tree (set theory); Regression; Regression analysis; Pencil (optics); Mathematics; Machine learning; Statistics; Artificial intelligence; Programming language