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Modern Applied Statistics with S (Statistics and Computing)
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商品の説明
内容紹介
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
レビュー
"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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5つ星のうち 4.4
18件のカスタマーレビュー
50 人中、50人の方が、｢このレビューが参考になった｣と投票しています。
5つ星のうち 5.0
Excellent
2003/3/6
By Andrew Robinson
- (Amazon.com)
形式:ハードカバー
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.
34 人中、34人の方が、｢このレビューが参考になった｣と投票しています。
5つ星のうち 5.0
R deserves the coverage it gets here
2004/9/2
By Weary Traveller
- (Amazon.com)
形式:ハードカバー|Amazon.co.jpで購入済み
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.
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 人中、26人の方が、｢このレビューが参考になった｣と投票しています。
5つ星のうち 5.0
Book Contents
2005/12/18
By MAURICIO AGUIAR
- (Amazon.com)
形式:ハードカバー|Amazon.co.jpで購入済み
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
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
›
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