Bibliographic Information

Statistical models in S

edited by John M. Chambers, Trevor J. Hastie

(Chapman & Hall computer science series)

Chapman & Hall, c1993

  • : hb
  • : pb

Available at  / 10 libraries

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Note

Includes bibliographical references (p. 589-593) and index

Description and Table of Contents

Volume

: hb ISBN 9780412052910

Description

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.
Volume

: pb ISBN 9780412053016

Description

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

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