Selecting and ordering populations: a new statistical methodology
Selecting and ordering populations: a new statistical methodology
Statistics in simulation: How to design for selecting the best alternative
WSC '76 Proceedings of the 76 Bicentennial conference on Winter simulation
New procedures for selection among (simulated) alternatives
WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 1
Design and analysis of simulation experiments
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
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The performance of many if not most real-life systems which are simulated depends on two or more factors which can be set at various “levels.” In order to understand the behavior of such a system the experimenter must conduct a factorial experiment in which the behavior of the system is studied at selected factor-level combinations. It is often of interest to select the “best” factor-level combination, i.e., the one associated with the highest average response. The purpose of this paper is to discuss some of the more commonly used statistical selection procedures. Selection procedures appropriate for use with single-factor experiments are considered first. The ideas associated with the use of these procedures are then generalized to two-factor experiments (and implicitly to multi-factor experiments) and new selection procedures for use with such multi-factor experiments are described.