Models for Discrete Longitudinal Data by Geert Molenberghs
English | PDF | 2005 | 679 Pages | ISBN : 0387251448 | 5.52 MB
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, immediately implying inferential tools for all parameters in the models.