Model Averaging

By:

David Fletcher

Format:

Paperback / softback

Series:

Springerbriefs in Statistics

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Description

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.

Author Biography:

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.

Release date Australia

January 25th, 2019

Author

David Fletcher

Audience

Professional & Vocational

Edition

1st ed. 2018

Illustrations

4 Illustrations, black and white; X, 107 p. 4 illus.

Pages

107

Series

Springerbriefs in Statistics

ISBN-13

9783662585405

Product ID

28824587

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