CRC Press
Statistical Models in S (English, J. M. Chambers | T. J. Hastie)
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Specifications
| Publisher | CRC Press |
| Language | English |
| ISBN-13 | 9780412830402 |
| ISBN-10 | 041283040X |
| Author | J. M. Chambers | T. J. Hastie |
Product Description
About the Book
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.
ISBN: 9780412830402
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Statistical Models in S
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in CRC Press
Who Should Read This
Students and professionals interested in CRC Press, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Statistical Models in S available in English?
Statistical Models in S is available in English on GlowMirror.
Who is the author of Statistical Models in S?
Statistical Models in S is authored by J. M. Chambers | T. J. Hastie.
Who published Statistical Models in S?
Statistical Models in S is published by CRC Press.
How many pages does Statistical Models in S have?
Page count information for Statistical Models in S is available in the specifications section of this page.
How long does it take to read Statistical Models in S?
At an average reading speed of 250 words per minute, reading Statistical Models in S takes a few hours to a few days depending on reading pace.
What is Statistical Models in S about?
About the Book
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the stati...
Is Statistical Models in S suitable for beginners?
Whether Statistical Models in S is suitable for beginners depends on your background in CRC Press. Review the product description and specifications above for details on the target audience and difficulty level.
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Statistical Models in S is from the CRC Press edition/year. Check the specifications section for full edition details.
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