Simulation Modeling and Analysis
Simulation Modeling and Analysis
Output analysis for simulations
Proceedings of the 38th conference on Winter simulation
A comprehensive review of methods for simulation output analysis
Proceedings of the 38th conference on Winter simulation
A P2P approach to many tasks computing for scientific workflows
VECPAR'10 Proceedings of the 9th international conference on High performance computing for computational science
P-SAM: a post-simulation analysis module for agent-based models
Proceedings of the 2010 Summer Computer Simulation Conference
Multi-Agent-Based simulation for analysis of transport policy and infrastructure measures
PRIMA'11 Proceedings of the 14th international conference on Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing
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One of the most important but neglected aspects of a simulation study is the proper design and analysis of simulation experiments. In this tutorial we give a state-of-the-art presentation of what the practitioner really needs to know to be successful. We will discuss how to choose the simulation run length, the warmup-period duration (if any), and the required number of model replications (each using different random numbers). The talk concludes with a discussion of three critical pitfalls in simulation output-data analysis.