Update formulas for split-plot and block designs
Faculty of Applied Economics
Antwerp :UA, 2008
Research report; 2008:22 / UA, Faculty of Applied Economics
University of Antwerp
For the algorithmic construction of optimal experimental designs, it is important to be able to evaluate small modi cations of given designs in terms of the optimality criteria at a low computational cost. In this article, we propose update formulas for evaluating the impact of changes to the levels of easy-to-change factors and hard-to- change factors in split-plot designs as well as the impact of a swap of points between blocks or whole plots in block designs or split-plot designs.