
Modern Applied Statistics with S-PLUS
Springer (Publisher)
2nd Edition
Published on 1. July 1997
Book
Hardback
XVII, 549 pages
978-0-387-98214-4 (ISBN)
Article exhausted; check for reprint
Description
A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.
More details
Series
Edition
2nd ed. 1997. Corr. 3rd printing
Language
English
Place of publication
NY
United States
Target group
College/higher education
Professional and scholarly
Illustrations
144 figures
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
940 gr
ISBN-13
978-0-387-98214-4 (9780387982144)
DOI
10.1007/978-1-4757-2719-7
Schweitzer Classification
Other editions
New editions

W.N. Venables | B.D. Ripley
Modern Applied Statistics with S
Book
08/2002
4th Edition
Springer
€181.89
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W.N. Venables | B.D. Ripley
Modern Applied Statistics with S-PLUS
Book
09/1999
3rd Edition
Springer
€85.59
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Previous edition
W.N. Venables | B.D. Ripley
Modern Applied Statistics with S-Plus
Book
11/1996
Springer
€30.34
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Content
1 Introduction.- 2 The S Language.- 3 Graphical Output.- 4 Programming in S.- 5 Distributions and Data Summaries.- 6 Linear Statistical Models.- 7 Generalized Linear Models.- 8 Robust Statistics.- 9 Non-linear Models.- 10 Random and Mixed Effects.- 11 Modern Regression.- 12 Survival Analysis.- 13 Multivariate Analysis.- 14 Tree-based Methods.- 15 Time Series.- 16 Spatial Statistics.- 17 Classification.- Appendices.- A Datasets and Software.- A.1 Libraries.- A.2 Caveat.- B Common S-PLUS Functions.- C Using S-PLUS Libraries.- C.1 Sources of libraries.- C.2 Creating a library section.- References.