
- 432 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Discrete Event Simulation is a process-oriented text/reference that utilizes an eleven-step model to represent the simulation process from problem formulation to implementation and documentation. The book presents the necessary level of detail required to fully develop a model that produces meaningful results and considers the tools necessary to interpret those results. Sufficient background information is provided so that the underlying concepts of simulation are understood. Major topics covered in Discrete Event Simulation include probability and distributional theory, statistical estimation and inference, the generation of random variates, verification and validation techniques, time management methods, experimental design, and programming language considerations. The book also examines distributed simulation and issues related to distributing the physical process over a network of tightly coupled processors. Topics covered in this area include deadlock, synchronization, rollback, event management, and communication processes.Fully worked examples and numerous practical exercises have been drawn from the engineering disciplines and computer science, although they have been structured so that they will be useful as well to other disciplines such as economics, business administration, and management science. The presentation of techniques and methods in Discrete Event Simulation make it an ideal text/reference for all practitioners of discrete event simulation.
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Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Preface
- Dedication
- Table of Contents
- Chapter 1 Basic Concepts and Terminology
- Chapter 2 Probability Concepts in Simulation
- Chapter 3 Random Variables and Probability Distributions
- Chapter 4 Detailed Analysis of Common Probability Distributions
- Chapter 5 Statistics and Random Samples
- Chapter 6 Statistical Tests
- Chapter 7 Generation of Random Numbers
- Chapter 8 Discrete System Simulation
- Chapter 9 Model Validation
- Chapter 10 The Design of Simulation Experiments
- Chapter 11 Estimation of Model Parameters
- Chapter 12 Output Analysis
- Chapter 13 Languages for Discrete System Simulation
- Chapter 14 Distributed Simulation
- Chapter 15 Queueing Theory and Simulation
- Appendix Tables
- Index