Overview
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.
Full Product Details
Author: Sheldon M. Ross (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA) ,
Sheldon M. Ross (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA)
Publisher: Elsevier Science & Technology
Imprint: Academic Press Inc
Edition: 6th edition
Weight: 0.680kg
ISBN: 9780323857390
ISBN 10: 0323857396
Pages: 336
Publication Date: 14 December 2022
Audience:
College/higher education
,
Tertiary & Higher Education
Format: Hardback
Publisher's Status: Active
Availability: Available To Order
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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"
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
Author Information
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.
