The previous general linear model is certainly a useful one (Searle 1971 ... Such an arrangement is often necessary by nature of the experiment, the classical example being the application of ...

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

Mixed linear ... model association (MLMA) method include the prevention of false positive associations due to population or relatedness structure and an increase in power obtained through the ...