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Methods of statistical model estimation
"Preface Methods of Statistical Model Estimation has been written to develop a particular pragmatic viewpoint of statistical modelling. Our goal has been to try to demonstrate the unity that underpins statistical parameter estimation for a wide range of models. We have sought to represent the t...
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| Auteur principal : | |
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| Autres auteurs : | |
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Methods of statistical model estimation / Joseph M. Hilbe, Andrew P. Robinson |
| Publié : |
Boca Raton, Fla., London :
Chapman & Hall/CRC
, cop. 2013 |
| Description matérielle : | 1 vol. (xii, 243 p.) |
| Contenu : | 1. Programming and R. 2. Statistics and likelihood-based estimation. 3. Ordinary regression. 4. Generalized linear models. 5. Maximum likelihood estimation. 6. Panel data. 7. Model estimation using simulation |
| Sujets : |
Bib. CRDM (Mathématiques)
| | Cote | Prêt | Statut |
|---|---|---|---|
| Bibliothèque | 62C564 | Prêt sans prolongation | Disponible |