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SpringerBriefs in Statistics

Model Averaging

Authors: Fletcher, David

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  • Provides an overview of current model averaging methods, with an emphasis on applications
  • Compares the frequentist and Bayesian approaches to model averaging
  • Includes an extensive list of references and suggestions for further research
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eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-662-58541-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-662-58540-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.

About the authors

David Fletcher is an Associate Professor of Statistics at the University of Otago in Dunedin, New Zealand. His research interests developed primarily from collaboration with other scientists, particularly ecologists. He has developed new methods in a range of areas, including experimental design, mark-recapture, meta-regression, model averaging, population dynamics, overdispersion and zero-inflated data. 


Table of contents (4 chapters)

Table of contents (4 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-662-58541-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-662-58540-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Model Averaging
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2018
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s), under exclusive licence to Springer-Verlag GmbH, DE, part of Springer Nature
eBook ISBN
978-3-662-58541-2
DOI
10.1007/978-3-662-58541-2
Softcover ISBN
978-3-662-58540-5
Series ISSN
2191-544X
Edition Number
1
Number of Pages
X, 107
Number of Illustrations
4 b/w illustrations
Topics