Introduction
Generalized Linear Models extend traditional linear regression to handle non-normal distributions and various response types through link functions and exponential family distributions. These models encompass logistic regression, Poisson regression, and other specialized modeling approaches for diverse analytical scenarios. Explore expert-level tutorials, tools, and abstracts addressing GLM implementation, model selection, and statistical interpretation.
