Selecting and ordering populations: a new statistical methodology
Selecting and ordering populations: a new statistical methodology
Tutorial on indifference-zone normal means ranking and selection procedures
WSC '86 Proceedings of the 18th conference on Winter simulation
Retrospective simulation response optimization
WSC '91 Proceedings of the 23rd conference on Winter simulation
Designing computer simulation experiments
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
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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We discuss sampling procedures for selecting that one of a number of normal populations (with common known variance) which has the largest mean. We present procedures appropriate for single-factor experiments, and then give procedures devised for 2-factor experiment's without interaction between the factor-levels. In all cases, the procedures guarantee a prespecified probability of selecting the correct population.