Rank Test for Two-Factor Interaction

The null hypothesis of no interaction in a two-way cross-classification model with non-normal errors is tested using a test statistic based on a nonlinear function of the ranks of the residuals in the model under the null hypothesis. When the errors are normal and the number of replicates is still fairly small, the proposed rank test is found to have powers which are comparable to those of the usual F test.