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Modern Applied Statistics with S (Statistics and Computing)
 
 
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Modern Applied Statistics with S (Statistics and Computing) [Paperback]

W.N. Venables , B.D. Ripley
4.4 out of 5 stars  See all reviews (5 customer reviews)
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Product details

  • Paperback: 495 pages
  • Publisher: Springer; Softcover reprint of hardcover 4th ed. 2002 edition (4 Dec 2010)
  • Language English
  • ISBN-10: 1441930086
  • ISBN-13: 978-1441930088
  • Product Dimensions: 15.6 x 23.4 x 2.6 cm
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Bestsellers Rank: 665,577 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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W. N. Venables
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Product Description

Review

"Modern Applied Statistics With S meets its goal of serving as an introduction to S for new users, as well as a reference and resource for those with more S experience." Journal of the American Statistical Association, December 2005

Review

"Modern Applied Statistics With S meets its goal of serving as an introduction to S for new users, as well as a reference and resource for those with more S experience." Journal of the American Statistical Association, December 2005

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
8 of 8 people found the following review helpful
It is the S book! 4 Feb 2005
By A Customer
Format:Hardcover
This book is not about statistical theory. It is about how to perform modern statistical and graphical data analysis using S environment. If you do not have sufficient background in statistics you should go for something else. There are many excellent options.
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5 of 5 people found the following review helpful
Format:Hardcover
This book is a classic. Essential for anyone working with S or R. Some statistical background and programming skills are certainly necessary. This book was written for people with some good statistical knowledge who wants to implement sophisticated analysis to their data without much fuss. The examples are clear. The book is well written and concise.
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5 of 5 people found the following review helpful
By A Customer
Format:Hardcover
If you want a book on theoretical statistics, try buying a book called "Theoretical Statistics". If you want a book that covers a massive range of modern statistical methods (including linear models, generalized linear models, generalized additive models, projection pursuit, neural networks, tree methods, mixed effects models, mixture models, robust methods and others), and which contains dozens of example analyses with S, then this book is unbeatable.
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