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Generalized, Linear, and Mixed Models
Journal of the American Statistical Association, 2006(2006). Generalized, Linear, and Mixed Models. Journal of the American Statistical Association: Vol. 101, No. 476, pp. 1724-1724.
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Generalized Linear Mixed Models
2015This article provides an overview of generalized linear mixed models (GLMMs), how they are fit to data, and the inferences possible when using them. GLMMs are a class of statistical models that handle a wide variety of distributions for the outcome, accommodate nonlinear models, and model correlated data.
Fränzi Korner-Nievergelt +5 more
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The Generalized Linear Mixed Cluster-Weighted Model
Journal of Classification, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
INGRASSIA, Salvatore +3 more
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Cook’s distance for generalized linear mixed models
Computational Statistics & Data Analysis, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luis Gustavo B. Pinho +2 more
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Linear and generalized linear mixed models
2015AbstractGeneralized linear mixed models (GLMMs) are a powerful class of statistical models that combine the characteristics of generalized linear models and mixed models (models with both fixed and random predictor variables). This chapter: reviews the conceptual and theoretical background of GLMMs, focusing on the definition and meaning of random ...
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Generalized Linear Mixed Models
2017For analyzing repeated measures data, the necessity of considering the relationships between outcome variables as well as between outcome variables and explanatory variable are of concern. We have discussed about such models in previous chapters. All the models proposed in various chapters are fixed effect models. However, in some cases, the dependence
M. Ataharul Islam, Rafiqul I. Chowdhury
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General Linear and Mixed Models
Abstract This chapter provided an overview of general linear models (GLM). We examine both OLS and GLS estimators. We then extend this to the general mixed model.Bruce Walsh +2 more
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An alternative specification of generalized linear mixed models
Computational Statistics & Data Analysis, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sartori N., Severini T. A., Marras E.
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Full Credibility with Generalized Linear and Mixed Models
ASTIN Bulletin, 2009AbstractGeneralized linear models (GLMs) are gaining popularity as a statistical analysis method for insurance data. For segmented portfolios, as in car insurance, the question of credibility arises naturally; how many observations are needed in a risk class before the GLM estimators can be considered credible?
Garrido, José, Zhou, Jun
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