Models for Discrete Longitudinal Data
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. This allows model fitting to be based on maximum likelihood principles,...
Zapisane w:
| Główni autorzy: | , |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Wydanie: | 1st ed. 2005. |
| Seria: | Springer Series in Statistics
|
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Models for discrete longitudinal data, Geert Molenberghs, [2e édition], New York, NY, Springer, 2010, 1 vol. (XXII, 687 p.), Springer series in statistics, 1-441-92043-9 • Models for Discrete Longitudinal Data, Texte imprimé, 9780387505817 • Models for discrete longitudinal data, Geert Molenberghs, Geert Verbeke, 2005, New York (N.Y.), Springer, 1 vol. (XXII-683 p.), Springer series in statistics, 978-0387-25144-8 |