Simultaneous pairwise multiple comparisons in a two-way analysis of covariance model

Pairwise comparison procedures are important and popular statistical techniques in many disciplines, such as physiology and agrobiology. In this paper, we seek to derive the statistical methods which enable one to perform pairwise comparisons in a two-way analysis of covariance model. The overall family-wise type I error rate is controlled at a designated level. The procedures are outlined for simultaneous inferences among treatment means. Numerical examples are given to illustrate our testing procedure.