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 ...

It is increasingly recognized that many industrial and engineering experiments use split-plot or other multistratum structures. Much recent work has concentrated on finding optimum, or near-optimum, ...

Methods of designing and analyzing experiments: one-way and two-way layouts, block designs, latin squares and extensions, full and fractional factorial experiments, Plackett-Burman designs, random ...

A random error component is introduced into linear models for analyzing data from designed experiments. This error component is called a `restriction error' because ...

In some experiments, treatments can be applied only to groups of experimental observations rather than separately to each observation. When there are two nested groupings of the observations on the ...