Statistical Models in S.
Published in October 1991
Book
Hardback
600 pages
978-0-534-16764-6 (ISBN)
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.
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.
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.
More details
Series
Language
English
Place of publication
Dordrecht
Netherlands
Publishing group
Kluwer Academic Publishers Group
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 237 mm
Width: 162 mm
Weight
1020 gr
ISBN-13
978-0-534-16764-6 (9780534167646)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
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.