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portada Model Averaging (Springerbriefs in Statistics)
Type
Physical Book
Publisher
Author
Year
2019
Language
English
Pages
107
Format
Paperback
ISBN13
9783662585405
Edition No.
2018
Categories

Model Averaging (Springerbriefs in Statistics)

David Fletcher (Author) · Springer · Paperback

Model Averaging (Springerbriefs in Statistics) - David Fletcher

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Synopsis "Model Averaging (Springerbriefs in Statistics) "

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.

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