Foundations and Methods of Stochastic Simulation
Subtitle: A First Course
By: by Barry L. Nelson
Contributors: SpringerLink (Online service)
Series: International Series in Operations Research & Management Science -- 187
Publisher: Springer US; Imprint: Springer
Published: 2013
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 276
ISBN-13: 9781461461609
Subjects: Economics/Management Science; Computer simulation; Operation Research/Decision Theory; Management Science Operations Research; Economics; Simulation and Modeling; Operations research
Description: <p>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.</p><p>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.</p>
Table of contents: title: Why Do We Simulate?; title: Simulation Programming: Quick Start; title: Examples; title: Simulation Programming with VBASim; title: Two Views of Simulation; title: Simulation Input; title: Simulation Output; title: Experiment Design and Analysis; title: Simulation for Research; title: VBASim.