Correlated data analysis : modeling, analytics, and applications
This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional generali...
Guardado en:
| Autor principal: | |
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| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2007. |
| Colección: | Springer Series in Statistics
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| Materias: | |
| Acceso en línea: | 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 353 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Correlated Data Analysis: Modeling, Analytics, and Applications, Texte imprimé, 9780387565583 • Correlated Data Analysis: Modeling, Analytics, and Applications, Texte imprimé, 9781441924407 • Correlated data analysis, modeling, analytics, and applications, Peter X.-K. Song, New York, Springer, 2007, 1 vol. (XV-346 p.), Springer series in statistics, 978-0-387-71392-2 |