Why Do We Simulate?

Barry L. Nelson*, Linda Pei

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


Stochastic simulation is a method for analyzing the performance of systems whose behavior depends on the interaction of random processes, processes that can be fully characterized by probability models. Stochastic simulation is a companion to mathematical and numerical analysis of stochastic models (e.g., Nelson, 1995) and is often employed when the desired performance measures are mathematically intractable or there is no numerical approximation whose error can be bounded. Computers make stochastic simulation practical, but the method can be described independently of any computer implementation, which is what we do here.

Original languageEnglish (US)
Title of host publicationInternational Series in Operations Research and Management Science
Number of pages6
StatePublished - 2021

Publication series

NameInternational Series in Operations Research and Management Science
ISSN (Print)0884-8289
ISSN (Electronic)2214-7934

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics


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