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 ...

PROC MIXED can fit a variety of mixed models. 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 ...

Under the potential outcomes framework, we propose a randomization based estimation procedure for causal inference from split-plot designs, with special emphasis on 2² designs that naturally arise in ...

The treatment-design portion of fractionated two-level split-plot designs is associated with a subset of the 2 n-k fractional factorial designs. The concept of aberration is then extended to these ...