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Generalized Additive Models: An Introduction with R, Second Edition Chapman & HallCRC Texts in Statistical Science 2nd Edition
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Generalized Additive Models: An Introduction with R, Second Edition Chapman & HallCRC Texts in Statistical Science 2nd Edition
The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation.
Generalized Additive Models: An Introduction with R, Second Edition Chapman & HallCRC Texts in Statistical Science 2nd Edition
Item #: 16811922

Generalized Additive Models: An Introduction with R, Second Edition Chapman & HallCRC Texts in Statistical Science 2nd Edition

Item #: 16811922

BDT 14579

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The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation.
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What Stands Out

Comprehensive Overview
This second edition offers an updated and thorough exploration of Generalized Additive Models (GAMs), catering to both beginners and advanced users, making it a go-to resource for learners and practitioners.
Hands-on R Integration
Integrating clear R coding examples throughout the text enables readers to apply concepts practically, bridging theory and application seamlessly for enhanced hands-on learning and understanding.
Advanced Statistical Techniques
Includes modern updates on GAM methodologies, addressing user needs for contemporary statistical modeling solutions, thus appealing to researchers looking for cutting-edge techniques in data analysis.

Product Details

Discover the comprehensive guide to Generalized Additive Models with R. Get the Second Edition at Ubuy Bangladesh, your global online store for statistical science books.
Item Weight2 lbs (910 grams)

Who Should Buy?

Suitable For
  • Statistical Students

    Ideal for university students learning applied statistics and need an introduction to generalized additive models in R.

  • Data Scientists

    Data professionals seeking to enhance their modeling techniques with flexible approaches using generalized additive models.

  • Researchers

    Beneficial for researchers who require advanced statistical modeling solutions for complex datasets and real-world applications.

Not Suitable For
  • Beginner Statisticians

    Not suitable for those without prior statistical knowledge who may find the content too complex and technical.

  • Casual Readers

    Not ideal for casual readers looking for simple statistics, as it focuses on advanced analytical techniques.

  • Software Developers

    Software engineers seeking programming resources may not find the statistical model focus relevant for their needs.

Product Description

Generalized Additive Models: An Introduction with R, Second Edition Chapman & HallCRC Texts in Statistical Science 2nd Edition

About This Item

Introducing the "Generalized Additive Models: An Introduction with R, Second Edition" - your comprehensive guide to mastering generalized additive models using R programming! Whether you're a beginner or an experienced statistician, this textbook is a must-have for anyone interested in delving into the world of statistical modeling and analysis in R. Packed with practical examples and step-by-step instructions, this book will equip you with the skills and knowledge necessary to confidently apply generalized additive models to your data analysis projects. With the second edition of this popular Chapman & HallCRC Texts in Statistical Science series, you'll explore the foundation and theory behind additive models, along with their implementation in the R programming language. The book offers a systematic and accessible approach, making it suitable for students, professionals, and researchers alike. Through clear explanations and real-world examples, you'll learn how to leverage the power of R packages to perform regression analysis, manipulate data, and create visually appealing graphics.

Whether you're analyzing survey data, conducting social network analysis, or predicting sales trends, this book will guide you through the entire process. Key features of "Generalized Additive Models: An Introduction with R, Second Edition": 1. Comprehensive Coverage: From the basics of statistical modeling to advanced topics like smoothing and model selection, this book covers it all. Gain a deep understanding of generalized additive models and their practical applications. 2.

Hands-on Examples: Learn by doing with numerous examples and exercises throughout the book. Apply what you've learned to real-world scenarios to solidify your understanding and develop your skills. 3. R Programming: Master the R programming language and take advantage of its powerful statistical analysis and data manipulation capabilities.

Enhance your data analysis workflow and produce high-quality visualizations with ease. 4. Practical Tips and Tricks: Benefit from the author's expertise as they share practical tips and tricks for successful model building and interpretation. Avoid common pitfalls and optimize your modeling techniques. 5.

Updated Second Edition: This revised edition includes updated content, additional examples, and revised exercises to ensure you have the most up-to-date knowledge and skills in the field of generalized additive models. Unlock the power of statistical modeling in R with the "Generalized Additive Models: An Introduction with R, Second Edition." Take your data analysis and statistical modeling skills to the next level and gain a competitive edge in your field. Order your copy today and embark on a journey of mastering regression models, statistical modeling, and more using the R programming language!.

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Customer Questions & Answers

  • Question: Is this book suitable for self-study?

    Answer: Yes, the book contains an extensive set of exercises with solutions for self-study.
  • Question: Does this book require prior knowledge of R software?

    Answer: No, the book provides background in linear models, linear mixed models, and generalized linear models before presenting the practical application of GAMs using R software.
  • Question: Can this book be used as a course text?

    Answer: Yes, the book includes exercises and solutions, making it suitable for use as a course text.
  • Question: Is this book suitable for beginners?

    Answer: While some readers may find the initial chapters complicated, the book provides a clear introduction and practical examples. However, it is recommended to have a background in GLMs and Bayesian inference.
  • Question: What is the new material in the second edition?

    Answer: The second edition includes new material on adaptive smoothing, location-scale modeling, and functional data analysis. Additionally, the discussion of the available families and distributions modeled has been expanded.

Probability & Statistics Editorial Review

The second edition of 'Generalized Additive Models: An Introduction with R' is a comprehensive and well-structured book that provides a clear introduction, theory, and practical examples of generalized additive models. It covers not only the basics but also includes new material such as adaptive smoothing, location-scale modeling, and functional data analysis. Although some readers may find the initial chapters complicated and lacking in clear explanations, the book overall is a fantastic manual for those looking to learn and apply GAMs.

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Pros

  • Comprehensive and practical manual on generalized additive models
  • Includes new material and examples in the second edition
  • Covers a wide range of use cases outside of typical online tutorials

Cons

  • Initial chapters may be complicated and lack clear explanations

Product Price History

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BDT 14579

Order now and get it around Wednesday, June 24

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

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Features & Benefits

  • Leading reference on generalized additive models
  • Introductory with practical examples
  • Self-contained with necessary background in linear models, linear mixed models, and generalized linear models
  • Based on a framework of penalized regression splines
  • Includes extensive set of exercises with solutions
  • Use of R software for practical application