ABSTRACT
The focus of this chapter is the repeated measurements analysis of
variance ( R M A N O V A ) model for balanced and complete data. A balanced
R M design means that the p occasions of measurement are the same for all of
the experimental units. A complete R M design means that measurements are
available at each time point for each experimental unit. W e investigate linear
regression approaches for balanced and complete data in Chapter 5, balanced
and incomplete data in Chapter 5, and unbalanced and incomplete data (also
called longitudinal data) in Chapter 6.
