Springer Series in Statistics

Vector Generalized Linear and Additive Models

With an Implementation in R

Authors: Yee, Thomas W.

  • First comprehensive book  on Vector Generalized Linear Models
  • Builds on success of VGAM R package, which is used to show applications of the methodology
  • Techniques on regression and parametric and non-parametric methods covered in detail along with gamut of mathematical calculations
  • Solutions manual is available on springer.com
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eBook $69.99
price for USA (gross)
  • ISBN 978-1-4939-2818-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA
  • ISBN 978-1-4939-2817-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA
  • ISBN 978-1-4939-4198-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole.

Since their advent in 1972, GLMs have unified important distributions under a single umbrella with enormous implications. However, GLMs are not flexible enough to cope with the demands of practical data analysis. And data-driven GLMs, in the form of generalized additive models (GAMs), are also largely confined to the exponential family. The methodology here and accompanying software (the extensive VGAM R package) are directed at these limitations and are described comprehensively for the first time in one volume. This book treats distributions and classical models as generalized regression models, and the result is a much broader application base for GLMs and GAMs.

The book can be used in senior undergraduate or first-year postgraduate courses on GLMs or categorical data analysis and as a methodology resource for VGAM users. In the second part of the book, the R package VGAM allows readers to grasp immediately applications of the methodology. R code is integrated in the text, and datasets are used throughout. Potential applications include ecology, finance, biostatistics, and social sciences. The methodological contribution of this book stands alone and does not require use of the VGAM package.

About the authors

Thomas W. Yee is a Senior Lecturer in the Department of Statistics at University of Auckland, New Zealand. The author of over 30 articles published in statistical and other scientific journals, his work usually has a methodological focus and has direct applications in the fields of biostatistics and ecology. He is author of the VGAM R package, one of the largest by a single author. Dr Yee received his PhD in statistics from the University of Auckland.

Reviews

“The book unifies seemingly unrelated areas such as univariate distributions, categorical data analysis, quantile regression, and extremes. The underlying idea is to treat almost all distributions and classical models as generalized regression models. … The book may be used in senior undergraduate and first-year graduate courses on GLMs and regression modeling. It may serve as a methodology resource for users of VGAMs.” (Alexander G. Kukush, Mathematical Reviews, May, 2016)


Table of contents (19 chapters)

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-1-4939-2818-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA
  • ISBN 978-1-4939-2817-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA
  • ISBN 978-1-4939-4198-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Vector Generalized Linear and Additive Models
Book Subtitle
With an Implementation in R
Authors
Series Title
Springer Series in Statistics
Copyright
2015
Publisher
Springer-Verlag New York
Copyright Holder
Thomas Yee
eBook ISBN
978-1-4939-2818-7
DOI
10.1007/978-1-4939-2818-7
Hardcover ISBN
978-1-4939-2817-0
Softcover ISBN
978-1-4939-4198-8
Series ISSN
0172-7397
Edition Number
1
Number of Pages
XXIV, 589
Number of Illustrations and Tables
4 b/w illustrations, 99 illustrations in colour
Topics