Information Criteria and Statistical Modeling by Sadanori Konishi , Genshiro Kitagawa
English | PDF(True) | 2008 | 282 Pages | ISBN : 0387718869 | 5.4 MB
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.