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Information Criteria and Statistical Modeling - Konishi, Sadanori, and Kitagawa, Genshiro
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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 concepts and derivations of the AIC and related criteria, including Schwarz's Bayesian information criterion (BIC), together with a ...

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Information Criteria and Statistical Modeling 2010, Springer, New York, NY

ISBN-13: 9781441924568

2008 edition

Trade paperback

Information Criteria and Statistical Modeling 2007, Springer, New York, NY

ISBN-13: 9780387718866

2008 edition

Hardcover