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 ...

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 ...

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 ...

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, ...

For more information on this research see: Estimating Territory Risk Relativity Using Generalized Linear Mixed Models and Fuzzy C-Means Clustering. Risks, 2023,11 (6).

Linear Models (LM) are one of the most commonly used statistical methods to analyze continuous outcomes. However, many studies in Engineering, Medical Study, Education, etc. involve categorical ...