In a partial linear model, the dependence of a response variate Y on covariates (W, X) is given by Y = Wβ + η(X) + E, where E is independent of (W, X) with densities g and f, respectively. In this ...

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

Mixed linear models are assumed in most animal breeding applications. Convenient methods for computing BLUE of the estimable linear functions of the fixed elements of the model and for computing best ...

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, ...

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.