Most popular
Simulation,
Edition 6Editors: By Sheldon M. Ross
Publication Date:
06 Nov 2022
Conformance
-
PDF/UA-1
-
The publication was certified on 20250728
-
For queries regarding accessibility information, contact [email protected]
Ways Of Reading
-
This e-publication is accessible to the full extent that the file format and types of content allow, on a specific reading device, by default, without necessarily including any additions such as textual descriptions of images or enhanced navigation.
Navigation
-
The contents of the PDF have been tagged to permit access by assistive technologies as per PDF-UA-1 standard.
-
Page breaks included from the original print source
Additional Accessibility Information
-
The language of the text has been specified (e.g., via the HTML or XML lang attribute) to optimise text-to-speech (and other alternative renderings), both at the whole document level and, where appropriate, for individual words, phrases or passages in a different language.
Note
-
This product relies on 3rd party tooling which may impact the accessibility features visible in inspection copies. All accessibility features mentioned would be present in the purchased version of the title.
Simulation, Sixth Edition continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, this book presents the statistics needed to analyze simulated data and validate simulation models.
Key Features
- Includes updated content throughout
- Offers a wealth of practice exercises as well as applied use of free software package R
- Features the author’s well-known, award-winning and accessible approach to complex information
About the author
By Sheldon M. Ross, Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA
1. Introduction
2. Elements of Probability
3. Random Numbers
4. Generating Discrete Random Variables
5. Generating Continuous Random Variables
6. The Multivariate Normal Distribution and Copulas
7. The Discrete Event Simulation Approach
8. Statistical Analysis of Simulated Data
9. Variance Reduction Techniques
10. Additional Variance Reduction Techniques
11. Statistical Validation Techniques
12. Markov Chain Monte Carlo Methods
Book Reviews
"This textbook contains and describes all the tools one needs to plan and to carry out a simulation study as well as to analyze its results."—J.Wolters, zbMATH Open
"It presents the statistics needed to analyze simulated data and to validate the simulation model. In this edition, several new topics are included as well as a number of new exercises."—Vigirdas Mackevicius, zbMATH Open
"It presents the statistics needed to analyze simulated data and to validate the simulation model. In this edition, several new topics are included as well as a number of new exercises."—Vigirdas Mackevicius, zbMATH Open
ISBN:
9780323857390
Page Count:
336
Illustrations
:
Approx. 150 illustrations
Retail Price
:
9780128143469; 9780123814166; 9780470533314
Students at the advanced undergraduate / early graduate level taking a course in Simulation, found in many different departments, including: Computer Science, Industrial Engineering, Operations Research, Statistics, Mathematics, Electrical Engineering, and Quantitative Business Analysis.
Researchers/Professionals
Researchers/Professionals