Multinomial Selection Procedures for Use in Simulations

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