Update formulas for split-plot and block designs
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.
|Date of creation:||Dec 2008|
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"A candidate-set-free algorithm for generating "D"-optimal split-plot designs,"
Journal of the Royal Statistical Society Series C,
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