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Generalized linear mixed model : ウィキペディア英語版 | Generalized linear mixed model In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model in which the linear predictor contains random effects in addition to the usual fixed effects. They also extend the idea of linear mixed models to non-normal data. ==Introduction==
GLMMs provide a broad range of models for the analysis of grouped data. These models are useful in the analysis of longitudinal data.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Generalized linear mixed model」の詳細全文を読む
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