Information Criteria and Statistical Modeling

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The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.

One of the main objectives of this book is to provide comprehensive explanations of the conce...

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The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.

One of the main objectives of this book is to provide comprehensive explanations of the conce...

Read more
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  • Formats: pdf
  • ISBN: 9780387718873
  • Publication Date: 12 Sept 2007
  • Publisher: Springer New York
  • Product language: English
  • Drm Setting: DRM