System identification: theory for the user
System identification: theory for the user
An experimental procedure for simulation response surface model identification
Communications of the ACM
WSC '94 Proceedings of the 26th conference on Winter simulation
Characterizing a nonstationary M/G/1 queue using bode plots
WSC '94 Proceedings of the 26th conference on Winter simulation
Solution to the indexing problem of frequency domain simulation experiments
WSC '91 Proceedings of the 23rd conference on Winter simulation
Some extentions and limitations of frequency domain experiments
WSC '88 Proceedings of the 20th conference on Winter simulation
The global simulation clock as the frequency domain experiment index
WSC '88 Proceedings of the 20th conference on Winter simulation
Design of experiments: robust design: seeking the best of all possible worlds
Proceedings of the 32nd conference on Winter simulation
Agent models I: frequency-based designs for terminating simulations: a peace-enforcement example
Proceedings of the 35th conference on Winter simulation: driving innovation
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
Efficient data allocation for frequency domain experiments
Operations Research Letters
A comparison of frequency domain methodology and conventional factor screening methods
Operations Research Letters
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We present a meta-model which is useful for understanding simulation frequency domain experiments. This model consists of polynomial gain followed by a linear filter with additive noise. The assumptions for performing frequency domain experiments are thus made explicit. We demonstrate how the model leads to a straightforward mechanism for factor screening via statistical hypothesis testing.