On variance estimation in crossover designs

It is very unlikely that the errors in crossover experiments with more than two treatments are uncorrelated. The assumption of uncorrelated errors generally leads to underestimation of the variances of estimates. This paper determines bounds for the degree of underestimation for arbitrary covariance matrices, provided the experiment is planned according to a design that has the same numbers of periods and treatments and is balanced for carryover effects.