The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 43, No. 3 (September/septembre 2015), pp. 358-377 (20 pages) Diagnostics for heteroscedasticity in linear regression ...

Roderick J. A. Little, Regression With Missing X's: A Review, Journal of the American Statistical Association, Vol. 87, No. 420 (Dec., 1992), pp. 1227-1237 ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

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, ...

Specifically, I’ll be using simulation in R as an educational tool to help you better understand the ways in which regressions can break. Using simulations to unpack regression The idea of using R ...