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Model Selection and Multimodel Inference

A Practical Information-Theoretic Approach

Language EnglishEnglish
Book Paperback
Book Model Selection and Multimodel Inference Kenneth P. Burnham
Libristo code: 01999174
Publishers Springer-Verlag New York Inc., December 2010
A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the... Full description
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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

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About the book

Full name Model Selection and Multimodel Inference
Language English
Binding Book - Paperback
Date of issue 2010
Number of pages 488
EAN 9781441929730
ISBN 1441929738
Libristo code 01999174
Weight 742
Dimensions 157 x 232 x 27
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