Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

Linear Models (LM) are one of the most commonly used statistical methods to analyze continuous outcomes. However, many studies in Engineering, Medical Study, Education, etc. involve categorical ...

We introduce the functional generalized additive model (FGAM), a novel regression model for association studies between a scalar response and a functional predictor. We model the link-transformed mean ...

Thomas W. Yee, Neil D. Mitchell, Generalized Additive Models in Plant Ecology, Journal of Vegetation Science, Vol. 2, No. 5 (Dec., 1991), pp. 587-602 ...