ALESSIO FARCOMENI, Generalized Linear Mixed Models Based on Latent Markov Heterogeneity Structures, Scandinavian Journal of Statistics, Vol. 42, No. 4 (December 2015), pp. 1127-1135 ...

Sanjoy K. SINHA, Bootstrap tests for variance components in generalized linear mixed models, The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 37, No. 2 (June/juin 2009), ...

"Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences" is a new worldwide release at an important time of change in the research community. It ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...

Since 1987, MCEER, formerly the Multidisciplinary Center for Earthquake Engineering Research (MCEER) and the National Center for Earthquake Engineering Research ( NCEER), has produced over 600 ...

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...