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Item #:
105372836
Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Item #:
105372836
MAD 1679
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What Stands Out
Comprehensive Guide
This book offers a thorough introduction to Generalized Additive Models (GAMs), making complex statistical concepts accessible for beginners and practitioners alike, enhancing analytical skills and decision-making.
Practical R Examples
Packed with practical R coding examples, the text bridges theory and application, allowing readers to implement GAMs effectively in real-world data analysis scenarios, ensuring a hands-on learning experience.
Updated Content
The second edition features updated methodologies and expanded topics, reflecting the latest advancements in statistical science, ensuring that readers are equipped with current knowledge and techniques in GAMs.
Product Details
| Publisher | Chapman and Hall/CRC |
| Publication date | 30 May 2017 |
| Edition | 2nd |
| Language | English |
| Print length | 496 pages |
| ISBN-10 | 1498728332 |
| ISBN-13 | 978-1498728331 |
| Item weight | 1.05 kg |
| Dimensions | 15.6 x 2.69 x 23.39 cm |
Who Should Buy?
-
Data Scientists
Ideal for data scientists seeking to use generalized additive models for complex data visualization and analysis.
-
Graduate Students
Beneficial for graduate students studying statistics or data science looking to deepen their understanding of modeling techniques.
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Statisticians
Great for professional statisticians needing a comprehensive guide to generalized additive models and their applications.
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Beginners
May not be suitable for beginners lacking basic statistical knowledge or experience with R programming.
Product Description
Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
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Higher Education Editorial Review
Generalized Additive Models An Introduction With R, Second Edition Chapman & Hall/CRC Texts In Statistical Science offers a comprehensive exploration of additive models, ideal for statisticians and data scientists seeking advanced statistical approaches. Published by Chapman and Hall/CRC on 30 May 2017, this second edition encompasses 496 pages filled with practical insights and clear R programming examples, making it easily accessible for readers. With its emphasis on clarity of explanations, many users appreciate how the text breaks down complex concepts, allowing for effective learning and application. This updated edition includes new topics and chapters that enhance the understanding of generalized additive models, which many readers find beneficial.
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Pros
- Comprehensive exploration of additive models
- Practical insights with clear R examples
- Easily accessible for statisticians and data scientists
- Includes new topics and chapters
- Clear explanations of complex concepts
Cons
- Some readers may prefer a more concise format
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