Abstract
Frequency domain experiments are efficient screening procedures for identifying important factors in simulation models. An empirical investigation involving a simple autoregressive system and a complex queueing system shows that allocating data unequally among the signal and noise runs may be more effective when the total data collection effort is limited.
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