Simulation
6th Edition
Published on 14. December 2022
Book
Hardback
336 pages
978-0-323-85739-0 (ISBN)
Description
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.
Reviews / Votes
"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
More details
Edition
6th edition
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
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
Illustrations
Approx. 150 illustrations; Illustrations
Dimensions
Height: 233 mm
Width: 157 mm
Thickness: 23 mm
Weight
662 gr
ISBN-13
978-0-323-85739-0 (9780323857390)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Previous edition
Person
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
Content
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
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