Simultaneous confidence intervals for pairwise multiple comparisons in a two-way unbalanced design with unequal variances

摘要

In this research, we propose simultaneous confidence intervals for all pairwise multiple comparisons in a two-way unbalanced design with unequal variances, using a parametric bootstrap approach. Simulation results show that Type 1 error of the multiple comparison test is close to the nominal level even for small samples. They also show that the proposed method outperforms Tukey-Kramer procedure when variances are heteroscedastic and group sizes are unequal.