The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 27, No. 1 (Mar., 1999), pp. 63-79 (17 pages) In some physical systems, where the goal is to describe behaviour over an ...

Linear models with linear equality constraints on the coefficients are translated into models with a singular design matrix and a nonsingular disturbances covariance matrix in order to deduce general ...

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...

Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...