A methodology for cost-risk analysis in the statistical validation of simulation models
Communications of the ACM - Special issue on simulation modeling and statistical computing
Control of initialization bias in multivariate simulation response
Communications of the ACM - Special issue on simulation modeling and statistical computing
Principles of Discrete Event Simulation
Principles of Discrete Event Simulation
System Simulation
Analysis of simulation with common random numbers: a note on Heikes et al. (1976)
ACM SIGSIM Simulation Digest
Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Factor screening of multiple responses
WSC '92 Proceedings of the 24th conference on Winter simulation
On the use of MANOVA in the analysis of multiple-response simulation experiments
WSC '85 Proceedings of the 17th conference on Winter simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Evaluation of the effectiveness of group screening methods as compared to no group screening
Proceedings of the 32nd conference on Winter simulation
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The overwhelming majority of research into the design and analysis of simulation assumes that only a single response variable is of interest to the researcher. This is an impractical assumption. In these introductory remarks, the problem of multiple response in simulation analysis is addressed and some solutions are discussed.