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...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2008. |
| Col·lecció: | Springer Series in Statistics
|
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 281 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Information criteria and statistical modeling, Sadanori Konishi, Genshiro Kitagawa, 2008, New York, Springer, 1 vol. (XII- 273 p.), Springer series in statistics, 978-0-387-71886-6 • Coping and self-concept in adolescence, Harke Bosma, Sandy Jackson, eds, Berlin, Springer-Verlag, 1990, xi, 270 p., 0-387-51897-5 • Information criteria and statistical modeling, Sadanori Konishi, Genshiro Kitagawa, 2008, New York, Springer, 1 vol. (XII- 273 p.), Springer series in statistics, 978-0-387-71886-6 |
Taula de continguts:
- Concept of Statistical Modeling Statistical Models Information Criterion Statistical Modeling by AIC Generalized Information Criterion (GIC) Statistical Modeling by GIC Theoretical Development and Asymptotic Properties of the GIC Bootstrap Information Criterion Bayesian Information Criteria Various Model Evaluation Criteria.