Abstract
The problem of identification and construction of optimal designs for comparing several test treatments with a control treatment is studied. Two-way heterogeneity in the experimental units is considered under the usual additive model. A general class of designs—named balanced treatment row-column designs—appears to be natural candidates for the A-optimality criterion. Catalogs of A-optimal balanced treatment row-column designs have been prepared and tabulated for a practical range of parameter values. The use of the catalogs is explained with examples.
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