JSTOR Daily

Marginally Specified Generalized Linear Mixed Models: A Robust Approach

Longitudinal data modeling is complicated by the necessity to deal appropriately with the correlation between observations made on the same individual. Building on an earlier nonrobust version ...
Medicine Buffalo

Generalized Linear (Mixed) Models of Post-earthquake Ignitions

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of ...
esa.org

Course Starts: Generalized Linear, Additive, & Mixed Models

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are ...
JSTOR Daily

Bayesian Covariance Selection in Generalized Linear Mixed Models

This is a preview. Log in through your library . Abstract The generalized linear mixed model (GLMM), which extends the generalized linear model (GLM) to incorporate random effects characterizing ...
Insurancenewsnet.com

Ted Rogers School of Management Researcher Has Published New Study Findings on Risk Management (Estimating Territory Risk Relativity Using Generalized Linear Mixed Models and ...

2023 JUN 09 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on risk management have been presented. According to news reporting originating from Toronto, ...
insider.si.edu

Linear mixed models : a practical guide using statistical software / Brady T. West, Kathleen B. Welch, Andrzej T. Gałecki, University of Michigan, Ann Arbor, USA ; with ...

"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...