The proposed estimation procedure is based on a localized version of the marginal likelihood approach in generalized linear models with random coefficients. The ...
A scaled chi-squared test based on the mixed model representation of the proposed model is developed to test whether an underlying varying coefficient is a ...
Generalized linear mixed-effects (GLME) models describe the relationship between a response variable and independent variables using coefficients that can vary
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ML underestimates random-effect standard deviations, except in very large data sets, but is more useful for comparing models with different fixed effects.
Generalized linear mixed models (or GLMMs) are an extension of linear mixed models to allow response variables from different distributions, such as binary ...
The proposed estimation procedure is based on a localized version of the marginal likelihood approach in generalized linear models with random coefficients. The ...
a varying coefficient is a polynomial in time of certain degree. We illustrate the proposed model and methods through ap- plication to Indonesian children ...
Tutz, Gerhard & Kauermann, Goran, 2003. "Generalized linear random effects models with varying coefficients," Computational Statistics & Data Analysis, ...
It reveals how an egalitarian mindset guided selection, procedure, and distribution by lot and how, after three centuries of practice, drawing lots was ...
Mar 15, 2004 · A popular way within the likelihood framework is to use linear mixed models to analyze continuous longitudinal data (Laird and. Ware, 1982; ...