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,...

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Bibliographic Details
Main Author: Molenberghs, Geert
Corporate Author: SpringerLink (Online service)
Other Authors: Verbeke, Geert
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2005.
Series:Springer series in statistics.
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Online Access: Full text (Wentworth users only).