Information Criteria and Statistical Modeling
Winner of the 2009 Japan Statistical Association Publication Prize. 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 repor...
| Main Authors: | , |
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| Corporate Author: | |
| Language: | English |
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New York, NY :
Springer New York : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Springer Series in Statistics,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-0-387-71887-3 |