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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...
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| Main Authors: | , |
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| Formáid: | Livro |
| Teanga: | Inglês |
| Foilsithe: |
Springer New York,
2008.
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| Sraith: | Springer Series in Statistics |
| Ábhair: | |
| Rochtain Ar Líne: | https://minerva.ufrj.br/F/?func=direct&doc_number=000906766&local_base=UFR01 |
| Clibeanna: |
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