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Modern Applied Statistics with S (Statistics and Computing) (Anglais) Broché – 4 décembre 2010


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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Amazon.com: 21 commentaires
52 internautes sur 52 ont trouvé ce commentaire utile 
Excellent 6 mars 2003
Par Andrew Robinson - Publié sur Amazon.com
Format: Relié
A worthy update. The authors are matter-of-fact and straightforward. I appreciate their terse style, the broad coverage, and the many examples. It's also good that they're starting to split programming material off into its own monograph (S Programming), making this book all the more appropriate for learning, although not quite beginning, statisticians. Their considerable contribution in software is also very much appreciated.
I do not agree at all with the reviewer who chided them for including R; I say so much the better for it. I very much hope that they will continue to do so.
35 internautes sur 35 ont trouvé ce commentaire utile 
R deserves the coverage it gets here 2 septembre 2004
Par Weary Traveller - Publié sur Amazon.com
Format: Relié Achat vérifié
Another reviewer wrote "I suspect most practicioners use S+". He should have been at the UserR! 2004 conference in Vienna this past March, with 500 or so enthusiastic R users including many from big industry (financial, pharmaceutical). And Ripley is the number-one contributor to the R Help mailing list by a long way. So it is completely appropriate that R is so prominant. Many of us appreciate open source not only for its cost ($0) but also its transparency. The reviewer should take another look at R.

As for the book, it is my data anlysis bible. It gets me started in a correct direction, with very well-explained and worked out examples, which I then adapt to my own datasets. The writing couldn't be clearer, and the references to primary sources as well as non-computational statistics texts I have found to be excellent. This is the one book to own if you are more than a beginner.
26 internautes sur 26 ont trouvé ce commentaire utile 
Book Contents 17 décembre 2005
Par MAURICIO AGUIAR - Publié sur Amazon.com
Format: Relié Achat vérifié
The "search inside this book" feature was not available when this review was posted. Hope it helps.

CONTENTS

Introduction

Data Manipulation

The S Language

Graphics

Univariate Statistics

Linear Statistical Models

Generalized Linear Models

Non-Linear and Smooth Regression

Tree-Based Methods

Random and Mixed Effects

Exploratory Multivariate Analysis

Classification

Survival Analysis

Time Series Analysis

Spatial Statistics

Optimization

Implementation-Specific Details

The S-PLUS GUI

Datasets, Software and Libraries

References

Index
30 internautes sur 31 ont trouvé ce commentaire utile 
one of the best applied books on statistics that uses S 22 février 2008
Par Michael R. Chernick - Publié sur Amazon.com
Format: Relié
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.
18 internautes sur 18 ont trouvé ce commentaire utile 
Great book - scandalous rendering of Kindle edition 26 octobre 2012
Par Reinhard Seifert - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
The printed book (which I own) deserves 5 stars as a comprehensive introduction to the S/R language and statistics.

The one star concerns explicitly the Kindle edition. In short: The rendering of formula and even (plain text!) S/R code is a scandal.

Formula and S/R code are included as bad resolution pictures and NOT rendered professionally in HTML5. They appear in pale grey and cannot be zoomed!

Springer has demonstrated with another Kindle book I purchased (Bapat RB: Linear Algebra and Linear Models) that they are capable of producing a professional Kindle version.

I purchased the Kindle edition in addition to the printed one, just to have it around when I need to look things up.

The same issue is valid for the Springer Kindle versions of:
Dalgaard P: Introductory Statistics with R
Zuur AF et al: Mixed Effects Models and Extensions in Ecology with R

I will repeat this statement in reviews for the above mentioned books.

When I have found out how to contact costumer service at Springer I will formally demand a refund or an update.

Do not buy the Kindle edition.
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