- Hardcover: 624 pages
- Publisher: Chapman and Hall/CRC (October 1, 1991)
- Language: English
- ISBN-10: 041283040X
- ISBN-13: 978-0412830402
- Product Dimensions: 1.5 x 6.2 x 9.5 inches
- Shipping Weight: 2.1 pounds (View shipping rates and policies)
- Average Customer Review: 4.6 out of 5 stars See all reviews (5 customer reviews)
- Amazon Best Sellers Rank: #2,685,317 in Books (See Top 100 in Books)
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Statistical Models in S
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Top Customer Reviews
It's apparently out of print, but it shouldn't be.
Even with the recent arrival of S-PLUS releases that incorporate S version 4 and many of the ideas discussed in "the green book" (<<Programming with Data>>, also by John Chambers), this classic S reference is an indispensable tool for the serious statistician. It needs to be reissued--with a white cover, of course.
Here are the titles of the chapters, for reference:
1. An Appetizer
2. Statistical Models
3. Data for Models
4. Linear Models
5. Analysis of Variance: Designed Experiments
6. Generalized Linear Models
7. Generalized Additive Models
8. Local Regression Models
9. Tree-Based Models
10. Nonlinear Models
A. Classes and Methods: Object-oriented Programming in S
B. S Functions and Classes
R language for the exploration of data. One needs some
familiarity with statistics, but it is amazing to see what the
crew at AT&T has done with their "language."