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Publicado por Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030861961 ISBN 13: 9783030861964
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Añadir al carritoPaperback. Condición: new. Paperback. This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors. This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 3030861961 ISBN 13: 9783030861964
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ISBN 10: 3030861961 ISBN 13: 9783030861964
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Publicado por Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030861961 ISBN 13: 9783030861964
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Añadir al carritoCondición: New. This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise a.
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Publicado por Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030861961 ISBN 13: 9783030861964
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Publicado por Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030861961 ISBN 13: 9783030861964
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Añadir al carritoPaperback. Condición: new. Paperback. This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors. This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Publicado por Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030861961 ISBN 13: 9783030861964
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Publicado por Springer, Berlin, Springer, 2013
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.
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Añadir al carritoTaschenbuch. Condición: Neu. Foundations and Methods of Stochastic Simulation | A First Course | Barry L. Nelson (u. a.) | Taschenbuch | xvi | Englisch | 2022 | Springer | EAN 9783030861964 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoCondición: New. Complete graduate text for the one-semester course in Stochastic Simulation Includes end-of-chapter exercises and online solutions manual Author is one of the best-known authorities and teaches the class at Northwestern UniversityBa.
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Añadir al carritoCondición: New. 2nd ed. 2021 edition NO-PA16APR2015-KAP.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.