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Modern Applied Statistics with S
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Binding: Hardcover
Dewey Decimal Number: 005.369
EAN: 9780387954578
Edition: 4th
ISBN: 0387954570
Label: Springer
Manufacturer: Springer
Number Of Items: 1
Number Of Pages: 512
Publication Date: September 02, 2003
Publisher: Springer
Studio: Springer
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Editorial Review:
S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book in intended for would-be users of S-PLUS and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state-of-the-art approaches to topics such as linear, nonlinear, and smooth regression models, tree-based methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout, modern techniques such as robust methods, non-parametric smoothing, and bootstrapping are used where appropriate. This third edition is intended for users of S-PLUS 4.5, 5.0, 2000 or later, although S-PLUS 3.3/4 are also considered. The major change from the second edition is coverage of the current versions of S-PLUS. The material has been extensively rewritten using new examples and the latest computationally intensive methods. The companion volume on S Programming will provide an in-depth guide for those writing software in the S language. The authors have written several software libraries that enhance S-PLUS; these and all the datasets used are available on the Internet in versions for Windows and UNIX. There are extensive on-line complements covering advanced material, user-contributed extensions, further exercises, and new features of S-PLUS as they are introduced. Dr. Venables is now Statistician with CSRIO in Queensland, having been at the Department of Statistics, University of Adelaide, for many years previously. He has given many short courses on S-PLUS in Australia, Europe, and the USA. Professor Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition, and neural networks.
Customer Reviews
Average Rating: 
Rating:  - Essential Reference
Who is the books audience? Its a second book. A second book to a theory book. A second book to a textbook. A second book to a your lecture notes. It will never be ~the~ book for a topic by itself, but it just a brilliant job of filling gaps.
I picture it like this: if your going into a graduate program that uses R buy this book and you will use it. 2 out of 3 courses I took in spring semester used R heavily. I am surprised none of the instructors had the line "Recommended for ... Read More
Rating: - one of the best applied books on statistics that uses S
This text is very popular and frequently cited in the statistics literature. The authors do an outstanding job of displaying modern statistical methods through the S programming language. It is an intermediate level book and certainly worthy of 5 stars.
Rating: - Excellent, but be aware of what you are buying
This is *the* book to have on S+/R. It provides excellent value for its price (indeed, any price): it is concise, broad, informative. All the same, I think it would be useful to identify intended audience for this book (in my view). First, the book is not for novices in Statistics. You'll learn how to fit generalized linear models in the language, not how and why to apply such models properly. To this end, there are plenty of specific monographies, and the majority of them use R for examples. Just ... Read More
Rating:  - A Course in Applied Statistics
I started using R to do linear modeling and found that I was using 'library(MASS)' much of the time. MASS, it turns out, stands for Modern Applied Statistics with S. R is a free ware version of S-Plus. I assumed that R is simply S-Plus without the GUI. I was close, but not right. There are some minor differences. This book, written for S also addresses the use of R in the applications presented, and also notes differences between the two, when they exist. I am quite pleased with Venerables and ... Read More
Rating: - Great reference book
This is a great programming reference book for S-plus or R. I would imagine any serious programmer in S-plus already has this on his/her desk.
Nice feature about this book:
where S and R differs in grammar, they are labeled very clearly.
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