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This paper introduces a balanced two-stage procedure (BTSP) for selecting the best of k normal populations with known or unknown common variance. The BTSP equally splits the upper bound of probability of incorrect selection (PICS) between the two stages. The modified upper bound of PICS gives a better approximation to the true PICS. In the 20 examples considered with k = 3;20;000 groups of simulations...
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