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Model Selection and Model Averaging

Language EnglishEnglish
Book Hardback
Book Model Selection and Model Averaging Gerda Claeskens
Libristo code: 04378959
Publishers Cambridge University Press, July 2008
Given a data set, you can fit thousands of models at the push of a button, but how do you choose the... Full description
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Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code.

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About the book

Full name Model Selection and Model Averaging
Language English
Binding Book - Hardback
Date of issue 2008
Number of pages 332
EAN 9780521852258
ISBN 0521852250
Libristo code 04378959
Weight 846
Dimensions 185 x 262 x 27
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