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

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.

Author: Kenneth P. Burnham, David R. Anderson
Publisher: Springer
Published: 07/12/2002
Pages: 488
Binding Type: Hardcover
Weight: 1.89lbs
Size: 9.44h x 6.34w x 1.12d
ISBN: 9780387953649

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