On Bounds for the Efficiency of Block Designs for Comparing Test Treatments with a Control.
ILLINOIS UNIV AT CHICAGO CIRCLE DEPT OF MATHEMATICS STATISTICS AND COMPUTER SCIENCE
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This paper studies the class of augmented balanced incomplete block designs, which are used for comparing a control treatment with a set of test treatments. Under the A criterion a condition is established that enables us to determine the most efficient augmented design and we suggest some methods to compute a lower bound for the efficiency of these designs. For 3 or k or k the parameters of the most efficient designs with a lower bound for their efficiency or, if known, mention their optimality.
- Operations Research