Selecting and ordering populations: a new statistical methodology
Selecting and ordering populations: a new statistical methodology
Proceedings of the 9th conference on Winter simulation - Volume 1
WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 1
Experimental design for computer comparison and selection.
Experimental design for computer comparison and selection.
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The data analysis component of a simulation study comparing a set of alternatives should include a confidence statement regarding the accuracy of the selection results. The usefulness of statistical ranking and selection procedures in providing such confidence statements in simulation experiments has become increasingly clear. Five general selection goals are described. Procedures are given when the alternatives are compared on the basis of proportion parameters. Statistical derivations and tables underlying these procedures are not included, but instead are appropriately referenced.