  We derive randomization-based models for experiments with a chain of
randomizations. The estimation theory for these models leads to formulae for
the estimators of treatment effects, their standard errors, and expected mean
squares in the analysis of variance. We discuss the practicalities in fitting
these models and outline the difficulties that can occur, many of which do not
arise in two-tiered experiments.
