Multinomial Selection Procedures for Use in Simulations

We describe single-stage and closed sequential procedures for selecting the most probable cell of a multinominal distribution. These procedures are then reformulated as nonparametric techniques for selecting the best one of a umber of competing simulated systems or alternatives. We discuss performance characteristics of the procedures and make recommendations concerning their use.

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