A Skew-Normal Copula-Driven Generalized Linear Mixed Model for Longitudinal Data

Using the advancements of Arellano-Valle et al. [2005], which characterize the likelihood function of a linear mixed model (LMM) under a skew-normal distribution for the random effects, this thesis attempt to construct a copula-driven generalized linear mixed model (GLMM). Assuming a multivariate d...

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Bibliographic Details
Main Author: Elmasri, Mohamad
Format: Others
Published: 2012
Online Access:http://spectrum.library.concordia.ca/973992/1/Elmasri_MSc_S2012.pdf
Elmasri, Mohamad <http://spectrum.library.concordia.ca/view/creators/Elmasri=3AMohamad=3A=3A.html> (2012) A Skew-Normal Copula-Driven Generalized Linear Mixed Model for Longitudinal Data. Masters thesis, Concordia University.