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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews of the second edition:
Burnham and Anderson (eschew) P-values completely and (focus) entirely on how to decide when a model or models adequately fits the data. In essence, this is what an ecologist wants to know-how do predictive models work? This simple categorization, however, belies the conceptual richness that Burnham and Anderson present in their book, and its importance." (Ecology)
"Bolstered by a new chapter and an additional 140 pages, this very specialized book is now quite a sizable affair in its second edition … . Subtitled ‘A Practical Information-Theoretic Approach,’ the book is built on the use of the Kullback-Leibler distance approach for multimodel inference. … The enthusiasm of the authors for their subject is apparent from the effort that they have made to extensively revise what already was a very unique book … ." (Technometrics, Vol. 54 (2), May, 2003)
Authors and Affiliations
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Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, Fort Collins, USA
Kenneth P. Burnham, David R. Anderson
Bibliographic Information
Book Title: Model Selection and Inference
Book Subtitle: A Practical Information-Theoretic Approach
Authors: Kenneth P. Burnham, David R. Anderson
DOI: https://doi.org/10.1007/978-1-4757-2917-7
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
eBook ISBN: 978-1-4757-2917-7Published: 11 November 2013
Edition Number: 1
Number of Pages: XX, 355
Number of Illustrations: 10 b/w illustrations
Topics: Statistical Theory and Methods