On selecting the best of k systems: an expository survey of subset-selection multinomial procedures
WSC '88 Proceedings of the 20th conference on Winter simulation
A survey of ranking, selection, and multiple comparison procedures for discrete-event simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
A multinomial ranking and selection procedure: Simulation and applications
WSC '84 Proceedings of the 16th conference on Winter simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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We investigate the problem of selecting the 'best' one of k arbitrary systems or alternatives. Consider one observation from each of the k systems. By 'best,' we mean that system which has the highest probability of yielding the 'most desirable' of the k observations. The term@ 'most desirable' of the k observations. The term 'most desirable' is defined according to some criterion of goodness determined by the experimenter. We show that this problem can be formulated as a multinomial selection problem. Hence, multinomial selection procedures are, in a sense, nonparametric procedures. An up-to-date survey of 'indifference-zone' multinomial procedures is given.