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Model Selection and Multi-Model Inference|Kenneth P. Burnham

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

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Overview

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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Details

  • ISBN-13: 9780387953649
  • ISBN-10: 0387953647
  • Publisher: Springer
  • Publish Date: July 2002
  • Dimensions: 9.44 x 6.34 x 1.12 inches
  • Shipping Weight: 1.89 pounds
  • Page Count: 488

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