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Modern Applied Statistics with S (Statistics and Computing) [Kindle Edition]

W.N. Venables (Author), Brian D. Ripley (Author)

4.4 out of 5 stars See all reviews (5 customer reviews) |

Print List Price:	�59.99
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Length: 495 pages
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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

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Product details

Format: Kindle Edition
File Size: 15614 KB
Print Length: 506 pages
Publisher: Springer; 4th edition (2 Sep 2003)
Sold by: Amazon Media EU S.� r.l.
Language English
ASIN: B000S1LWTE
Text-to-Speech: Enabled

Average Customer Review: 4.4 out of 5 stars See all reviews (5 customer reviews)

Amazon Bestsellers Rank: #277,521 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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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

Great book on modern statistics 12 July 2006

By Mj Dos Reis Barros

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

Excellent guide to modern statistics and S 24 Feb 2006

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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Most Recent Customer Reviews

bible for learning R!

comprehensive and easy understandable handbook for learning R.
both suitable for statisticians and non-specialists.

Published 22 months ago by Lynn Liu

Modern Applied Statistics with S Review

This book guides the reader through the mechanics of how to perform statistical analyses in R and S-PLUS, with many worked examples. Read more

Published on 4 Dec 2004 by "jbrent15"

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