Foundations and Methods of Stochastic Simulation / International Series in Operations Research & Management Science (PDF)
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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.
- Autor: Barry Nelson
- 2013, 2013, 276 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 146146160X
- ISBN-13: 9781461461609
- Erscheinungsdatum: 31.01.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.03 MB
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“The intended audience is graduate and advanced undergraduate students. … The book is clearly written, using a fairly terse style that may please instructors more than students. … its greatest strength is the attention it gives to the modeling process. … can be recommended as a supplement to any simulation course.” (Robert W. Hayden, MAA Reviews, March, 2014)“The present book consists of 276 pages organised in 9 Chapters. … recommended for MSc, PhD students.” (János Sztrik, zbMATH, Vol. 1266, 2013)
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