Why Do We Simulate?

Barry L. Nelson
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Barry L. Nelson: Northwestern University

Chapter Chapter 1 in Foundations and Methods of Stochastic Simulation, 2013, pp 1-6 from Springer

Abstract: Abstract 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.

Keywords: Desired Performance Measures; Stochastic Simulation; Strong Law Of Large Numbers (SLLN); General Repair Time; Average System Availability (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-6160-9_1

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DOI: 10.1007/978-1-4614-6160-9_1

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