Abstract
We consider the problem of partitioning a set of given normal populations, with respect to a control population, into two subsets according to their unknown means. In this article, using the subset selection approach in the first stage and indifference zone approach in the second stage, we propose a two-stage procedure. The procedure partitions “too superior or inferior” treatments after the first stage, thereby reducing the average sample size and making the procedure more attractive for practitioners. The proposed procedure is studied and compared via the Monte Carlo simulation studies with other competitive procedures known in the literature.
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