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This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works. It introduces object-oriented programming for simulation, covers both the probabilistic and statistical basis for simulation in a rigorous but accessible manner (providing all necessary background material), and provides a modern treatment of experiment design and analysis that goes beyond classical statistics. The book emphasizes essential foundations throughout, rather than providing a compendium of algorithms and theorems, and prepares the reader to use simulation in research as well as practice.
The book is a rigorous but concise treatment, emphasizing lasting principles, but also providing specific training in modeling, programming and analysis. In addition to teaching readers how to do simulation, it also prepares them to use simulation in their research; no other book does this.
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Previews available in: English
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1
Foundations and Methods of Stochastic Simulation: A First Course
2022, Springer International Publishing AG
in English
3030861961 9783030861964
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2
Foundations and Methods of Stochastic Simulation: A First Course
2021, Springer International Publishing AG
in English
3030861937 9783030861933
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3
Foundations and Methods of Stochastic Simulation: A First Course
2013, Springer US, Imprint: Springer
electronic resource :
in English
146146160X 9781461461609
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Feedback?November 13, 2020 | Edited by MARC Bot | import existing book |
June 30, 2019 | Created by MARC Bot | import new book |