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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach

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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach - Burnham, Kenneth P, and Anderson, David R
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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.

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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach 2002, Springer, New York, NY

ISBN-13: 9780387953649

2nd 2002

Hardcover