The Roy Bose simultaneous confidence interval approach to multivariate multitemporal pairwise comparisons within and between objects

MANOVA and Roy-Bose simultaneous confidence intervals when combined with distribution matrices of ordered differences and ordered difference component vectors define the he Roy Bose simultaneous confidence interval approach to multivariate multitemporal pairwise comparisons within and between objects. While the objects used in this experiment were species of trees, the methodology may be equally applicable to any class of objects which exhibit multitemporal and multivariate changes in p-dimensional response profiles or vectors with time. The methodology is most easily applied to balanced data.