If you pull twice as hard on a spring, it stretches twice as far. However, when we introduce very large forces or complicated ...

Sound Bites • The development of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between responses is violated.

Understanding the General Linear Model is essential for conducting rigorous statistical analyses, making informed inferences about relationships between variables, and developing predictive models.

General Motors future models – Chevy goes electric This first of a two-part look at forthcoming Chevrolets lifts the curtain to reveal certain EVs ...

During Netflix's Q2 earnings call, co-CEO Reed Hastings projects death of cable and satellite TV. “It’s definitely the end of linear TV." ...

Course Topics Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous ...

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, ...