Model replication techniques for parameter-influence studies and Monte Carlo simulation with random parameters

Granino A. Korn

Mathematics and Computers in Simulation (MATCOM), 2005, vol. 67, issue 6, 501-513

Abstract: Modern computers produce large volumes of simulation results so quickly that their management becomes a formidable task. We describe interactive computer software for replicating simulation models with different parameters. A single simulation run then produces results for hundreds of models with different parameter values without the loop overhead imposed by repeated simulations. One can1.arrange corresponding values of model-parameter values and model performance measures in corresponding arrays suitable for use in commercially available spreadsheet and relational-database programs for further processing and archival storage, or2.produce a Monte Carlo sample of model runs with random parameter values and compute statistics such as various averages or probability estimates as functions of simulation time in a single simulation run.

Keywords: Dynamic-system Simulation; Monte Carlo simulation; Vectorized Monte Carlo; Simulation script (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:67:y:2005:i:6:p:501-513

DOI: 10.1016/j.matcom.2004.07.003

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