Selecting and ordering populations: a new statistical methodology
Selecting and ordering populations: a new statistical methodology
On selecting the best of K systems: An expository survey of indifference-zone multinomial procedures
WSC '84 Proceedings of the 16th conference on Winter simulation
A multinomial ranking and selection procedure: Simulation and applications
WSC '84 Proceedings of the 16th conference on Winter simulation
Multinomial selection procedures for use in simulations
WSC '93 Proceedings of the 25th 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
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A restricted multinomial hybrid selection procedure
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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This paper studies the subset-selection approach of the ranking and selection procedures of choosing among k arbitrary systems or alternatives. Ranking and selection problems have customarily been treated using two different approaches, namely, the indifference-zone approach and the subset-selection approach. An expository survey of indifference-zone approach for selecting the best of k systems has been given in Goldsman (1984a). In this paper, we present a number of fixed-sample-size and sequential procedures based on subset-selection approach.