9.1.3 Model quality and statistical significance. We will come back to the question of whether the linear model is valid (whether it satisfies the assumptions of the technique). First we want to ...

The lm function name stands for "linear model." Linear regression is a subset of techniques called general linear models. Interpreting the Results The summary command displays just the basic results ...

Duration: 12h. 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 ...

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 ...

Stephen G. Walker, Bani K. Mallick, Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing, Journal of the Royal Statistical Society. Series B (Methodological), ...