Bibliographic Information

Statistical models in S

edited by John M. Chambers, Trevor J. Hastie

(Wadsworth & Brooks/Cole computer science series)

Wadsworth & Brooks/Cole Advanced Books & Software, c1992

  • pbk.

Available at  / 7 libraries

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Note

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

Description and Table of Contents

Description

This book contains a collection of ten articles by noted statistical researchers on implementing recent ideas in statistical computing using S. The software, S, can be purchased from AT&T Bell Laboratories in North Carolina or Statistical Science Inc in Seattle, WA. This book should be of interest to users of The New S, a statistics package developed at AT&T Bell Laboratories.

Table of Contents

  • An appetizer - J M Chambers and T J Hastie
  • Statistical models - J M Chambers and T J Hastie
  • Data for models - J M Chambers
  • Linear models - J M Chambers
  • Analysis of variance - J M Chambers, A E Freeny and R M Heiberger
  • Generalized linear models - T J Hastie and D Pregibon
  • Generalized additive models - T J Hastie
  • Local regression models - W S Cleveland, E Grosse, W M Shyu and I Terpenning
  • Tree-based models - L A Clark and D Pregibon
  • Nonlinear models - D M Bates and J M Chambers
  • Classes and methods - J M Chambers.

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