Volume 187. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781461461593.

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Bibliografische Details

Titel

Foundations and Methods of Stochastic Simulation: A First Course (Volume 187)

Verlag

Springer

Erscheinungsjahr

2013

Sprache

Englisch

ISBN-10

1461461596

ISBN-13

9781461461593

Einband

Hardcover

Zustand

Good

Verk�uferkataloge

Mathematics

�ber diesen Titel

Inhaltsangabe

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. An online solutions manual for end of chapter exercises is also provided.

�ber die Autorin bzw. den Autor

Barry L. Nelson currently serves as the Chair of the Department of Industrial Engineering and Management Sciences at Northwestern, as well as past Editor in Chief of Naval Research Logistics. He has also received an award for the Charles Deering McCormick Professor of Teaching Excellence. Barry Nelson's research is involved with the design and analysis of computer simulation experiments on models of stochastic systems, focusing particularly on issues related to statistical efficiency of simulation experiments. His research includes modeling and analysis of networks of nonstationary queues. The applications of this include computer-performance modeling, manufacturing systems, financial engineering and transportation.

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