Simulation, 6th Edition, 9780323857390
Hardcover
Unlock real-world problem solving: Simulate, analyze, predict, and conquer.

Simulation, 6th Edition

$245.50

  • Hardcover

    336 pages

  • Release Date

    5 November 2022

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Summary

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 …

Book Details

ISBN-13:9780323857390
ISBN-10:0323857396
Author:Sheldon M. Ross
Publisher:Elsevier Science & Technology
Imprint:Academic Press Inc
Format:Hardcover
Number of Pages:336
Edition:6th
Release Date:5 November 2022
Weight:680g
Dimensions:229mm x 152mm
What They're Saying

Critics Review

“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 Mackevičius, zbMATH Open

About The Author

Sheldon M. Ross

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.

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