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Model Selection and Multimodel Inference

Model Selection and Multimodel Inference A Practical Information-Theoretic Approach

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Model Selection and Multimodel Inference

A Practical Information-Theoretic Approach

Kenneth P. Burnham | David R. Anderson

Mathematics / Probability & Statistics / General

Statisticians and applied scientists often must select a model to fit empirical data. This book introduces researchers and graduate students in many areas to an information criterion approach, first introduced by Hirotugu Akaike in 1973. The book will be of general interest, but the emphasis is on applications to the biological sciences.

Publication Date: 12 July 2002
Publisher: Springer New York
Imprint: Springer
ISBN-13: 9780387953649
Format: Hardback
Page Count: 488

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