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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,...
| Call Number: | Libro Electrónico |
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| Main Authors: | , |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2005.
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| Edition: | 1st ed. 2005. |
| Series: | Springer Series in Statistics,
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| Subjects: | |
| Online Access: | Texto Completo |