Abstract
This book is about simulation modeling, programming, and experimentation for the purpose of systems analysis. However, stochastic simulation is also a tool that can be used to support basic research in domains such as simulation, optimization, queueing, financial engineering, statistical learning, healthcare, production planning and logistics. In this chapter we cite some papers that demonstrate effective application of simulation in research and use them to highlight general principles and practices. We start with two important distinctions.
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Nelson, B.L., Pei, L. (2021). Simulation for Research. In: Foundations and Methods of Stochastic Simulation. International Series in Operations Research & Management Science, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-030-86194-0_10
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DOI: https://doi.org/10.1007/978-3-030-86194-0_10
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