This fourth edition of "Simulation with Arena" has the same goal as the first three editions: to provide a comprehensive treatment of simulation concepts in general and the Arena simulation software in particular. It starts by having the reader develop simple, well-animated, high-level models, and t
Simulation with Arena
✍ Scribed by Kelton D., Sadowski R., Swets N.
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No coin nor oath required. For personal study only.
✦ Synopsis
Fifth Edition, McGraw-Hill, 2010. — 636 p. — ISBN 978-007-126771-7
Скан 400 DPI + текстовый OCR слой для поискаКнига представляет собой учебник по методу дискретно-событийного имитационного моделирования и системе моделирования Rockwell Arena.What is Simulation?Fundamental Simulation Concepts
A Guided Tour Through Arena
Modeling Basic Operations and Inputs
Modeling Detailed Operations
Statistical Analysis of Output from Terminating Simulations
Intermediate Modeling and Steady-State Statistical Analysis
Entity Transfer
A Sampler of Further Modeling Issues and Techniques
Arena Integration and Customization
Continuous and Combined Discrete/Continuous Models
Further Statistical Issues
Conducting Simulation Studies
A Functional Specification for The Washington Post
A Refresher on Probability and Statistics
Arena’s Probability Distributions
Academic Software Installation Instructions
✦ Subjects
Общеобразовательные дисциплины;Моделирование
📜 SIMILAR VOLUMES
"Simulation with Arena" provides a comprehensive treatment of simulation using industry-standard Arena software. The text starts by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is
This book was the first text on Arena, the very popular simulation modeling software. What makes this text the authoritative source on Arena is that it was written by its creators. The new edition will follow in the tradition of the successful first edition in its tutorial style (via a sequence of c
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Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment.'' It treats simulation modeling as an in-vitro laboratory that facili