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Efficient data allocation for frequency domain experiments

Authors
Journal
Operations Research Letters
0167-6377
Publisher
Elsevier
Publication Date
Volume
26
Issue
2
Identifiers
DOI: 10.1016/s0167-6377(99)00070-x
Keywords
  • Simulation
  • Design Of Experiments
  • Factor Screening

Abstract

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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