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Simulation for Research

In: Foundations and Methods of Stochastic Simulation

Author

Listed:
  • Barry L. Nelson

    (Northwestern University)

  • Linda Pei

    (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, 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.

Suggested Citation

  • Barry L. Nelson & Linda Pei, 2021. "Simulation for Research," International Series in Operations Research & Management Science, in: Foundations and Methods of Stochastic Simulation, edition 2, chapter 0, pages 287-298, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-86194-0_10
    DOI: 10.1007/978-3-030-86194-0_10
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    Cited by:

    1. Guanjun Liu & Chao Wang & Hui Qin & Jialong Fu & Qin Shen, 2022. "A Novel Hybrid Machine Learning Model for Wind Speed Probabilistic Forecasting," Energies, MDPI, vol. 15(19), pages 1-16, September.

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