Dynamic mixed models for familial longitudinal data
This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommoda...
Zapisane w:
| 1. autor: | |
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| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Wydanie: | 1st ed. 2011. |
| Seria: | Springer Series in Statistics
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| Hasła przedmiotowe: | |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Description d'après consultation du 11 mai 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Dynamic mixed models for familial longitudinal data, Brajendra C. Sutradhar, New York, Springer, 2011, 1 vol. (XVIII-492 p.), Springer series in statistics, 978-1-441-98341-1 |
Spis treści:
- Introduction Overview of Linear Fixed Models for Longitudinal Data Overview of Linear Mixed Models for Longitudinal Data Familial Models for Count Data Familial Models for Binary Data Longitudinal Models for Count Data Longitudinal Models for Binary Data Longitudinal Mixed Models for Count Data Longitudinal Mixed Models for Binary Data Familial Longitudinal Models for Count Data Familial Longitudinal Models for Binary Data