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,...
| Main Authors: | , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2005.
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| Series: | Springer Series in Statistics,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
