A relaxation time approach for reducing initialization bias in simulation
ANSS '85 Proceedings of the 18th annual symposium on Simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Automating warm-up length estimation
Proceedings of the 40th Conference on Winter Simulation
Proceedings of the Winter Simulation Conference
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Initialization bias in digital simulation typically arises in estimating a steady-state statistic from replicated data. While methods have been developed to avoid this bias, such as batch means, the problem remains in some simulation contexts. This report surveys current methods for dealing with this bias and assesses their effectiveness and usefulness.