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Simulation for Research

In: Foundations and Methods of Stochastic Simulation

Author

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  • Barry L. Nelson

    (Northwestern University)

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, 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.

Suggested Citation

  • Barry L. Nelson, 2013. "Simulation for Research," International Series in Operations Research & Management Science, in: Foundations and Methods of Stochastic Simulation, edition 127, chapter 0, pages 243-252, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-6160-9_9
    DOI: 10.1007/978-1-4614-6160-9_9
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    Cited by:

    1. Mondher Toumi & Ekkehard Beck & Steve Sherman & Leyla Mohseninejad & Samuel Aballéa, 2016. "Discretely Integrated Condition Event Simulation for Pharmacoeconomics," PharmacoEconomics, Springer, vol. 34(11), pages 1187-1188, November.
    2. J. Jaime Caro, 2016. "Response to Letter to the Editor Regarding Discretely Integrated Condition Event Simulation for Pharmacoeconomics," PharmacoEconomics, Springer, vol. 34(11), pages 1189-1190, November.
    3. Dongwei Zhao & Audun Botterud & Marija Ilic, 2023. "Uniform Pricing vs Pay as Bid in 100%-Renewables Electricity Markets: A Game-theoretical Analysis," Papers 2305.12309, arXiv.org.

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