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Foundations and Methods of Stochastic Simulation

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Foundations and Methods of Stochastic Simulation Synopsis

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.

About This Edition

ISBN: 9783030861964
Publication date: 12th November 2022
Author: Barry L Nelson, Linda Pei
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 313 pages
Series: International Series in Operations Research & Management Science
Genres: Operational research
Management decision making
Probability and statistics
Computer science
Economics, Finance, Business and Management