Multiple comparison procedures
Multiple comparison procedures
Ranking, selection and multiple comparisons in computer simulations
WSC '94 Proceedings of the 26th conference on Winter simulation
Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
New development of optimal computing budget allocation for discrete event simulation
Proceedings of the 29th conference on Winter simulation
Statistical screening, selection, and multiple comparison procedures in computer simulation
Proceedings of the 30th conference on Winter simulation
Selecting and ordering populations: a new statistical methodology
Selecting and ordering populations: a new statistical methodology
A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Selecting the best stochastic system for large scale problems in DEDS
Mathematics and Computers in Simulation
Output analysis: simulation output analysis
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Recent advances in simulation optimization: a conservative adjustment to the ETSS procedure
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Output analysis: analysis of simulation output
Proceedings of the 35th conference on Winter simulation: driving innovation
WSC '04 Proceedings of the 36th conference on Winter simulation
A large deviations perspective on ordinal optimization
WSC '04 Proceedings of the 36th conference on Winter simulation
Statistical selection of the best system
WSC '05 Proceedings of the 37th conference on Winter simulation
Implications of heavy tails on simulation-based ordinal optimization
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Large deviations perspective on ordinal optimization of heavy-tailed systems
Proceedings of the 40th Conference on Winter Simulation
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Ordinal optimization: a nonparametric framework
Proceedings of the Winter Simulation Conference
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This tutorial discusses some statistical procedures for selecting the best of a number of competing systems. The term "best" may refer to that simulated system having, say, the largest expected value or the greatest likelihood of yielding a large observation. We describe six procedures for finding the best, three of which assume that the underlying observations arise from competing normal distributions, and three of which are essentially nonparametric in nature. In each case, we comment on how to apply the above procedures for use in simulations.