Information based model selection criteria for generalized linear mixed models with unknown variance component parameters

DOI10.1016/j.jmva.2012.12.005zbMath1277.62183OpenAlexW2023517070MaRDI QIDQ391541

Dalei Yu, Xinyu Zhang, Kelvin. K. W. Yau

Publication date: 10 January 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.12.005

zbMATH Keywords

variance componentsparametric bootstrapconditional Akaike information

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (3)

A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure ⋮ Multilevel cumulative logistic regression model with random effects: application to British Social Attitudes Panel Survey data ⋮ Conditional Akaike Information Criteria for a Class of Poisson Mixture Models with Random Effects

Uses Software

• bootstrap

Cites Work

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