We have already seen that varying two factors simultaneously provides an effective experimental design for exploring the main (average) effects and interactions of the factors 1. However, in practice, ...

One of the most common mixed models is the split-plot design. The split-plot design involves two experimental factors, A and B. Levels of A are randomly assigned to whole plots (main plots), and ...

In general, modeling data from blocked and split-plot response surface experiments requires the use of generalized least squares and the estimation of two variance components. The literature on the ...

Crossover designs are commonly used in animal health studies to compare the effects of various treatments on an outcome. If the treatments consist of combinations of factors, special attention may be ...