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Generalized linear mixed model
Statistical model
In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model (GLM) in which the linear predictor contains random effects in addition to the usual fixed effects. They also inherit from generalized linear models the idea of extending linear mixed models to non-normal data.
En Wikipedia
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In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model (GLM) in which the linear predictor contains random effects in addition to the usual fixed effects. They also inherit from generalized linear models the idea of extending linear mixed models to non-normal data. Generalized linear mixed models provide a broad range of models for the analysis of grouped data, since the differences between groups can be modelled as a random effect. These models are useful in the analysis of many kinds of data, including longitudinal data.
Texto: Wikipedia en inglés, CC BY-SA 4.0. ·
Cartas cercanas
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Mixed model
Statistical model containing both fixed effects and random effects
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Modelo lineal generalizado
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Modelos Generalizados Aditivos
Class of statistical models
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Generalized estimating equation
Estimation procedure for correlated data
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Método de los momentos generalizado
Técnica de estimación de parámetros en la estadística, especialmente la econométrica
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Modelo lineal general