Publisher: Springer
Language: English
ISBN: 0387718869
Paperback: 276 pages
Data: Oct 2007
Format: PDF
Description: 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.
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Tuesday, December 25, 2007
Information Criteria and Statistical Modeling
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