In this article we consider the Two-Way ANOVA model with unequal cell frequencies
without the assumption of equal error variances. For the problem of testing no interaction
effects and equal main effects, we propose a parametric bootstrap (PB) approach and
compare it with existing the generalized F (GF) test. The Type I error rates and powers
of the tests are evaluated using Monte Carlo simulation. Our studies show that the PB test
performs better than the generalized F-test. The PB test performs very satisfactorily even
for small samples while the GF test exhibits poor Type I error properties when the number
of factorial combinations or treatments goes up.