This book provides conceptual, user-friendly coverage of the generalized linear model (GLM). Themes covered include testing assumptions, examining data quality, and nonlinear and non-additive effects modelled within different types of linear models.
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This book provides conceptual, user-friendly coverage of the generalized linear model (GLM). Themes covered include testing assumptions, examining data quality, and nonlinear and non-additive effects modelled within different types of linear models.
Read Less
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