Simulation

Simulation

3.88 (35 ratings by Goodreads)
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Description

Ross's Simulation, Fourth Edition introduces 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 learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes.
This text explains 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. It presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.
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Product details

  • Hardback | 312 pages
  • 152 x 228 x 22mm | 621.42g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 4th edition
  • 0125980639
  • 9780125980630
  • 887,954

Review quote

"...It is outstanding because it is what it is and no other textbook out there does this job."
- Kris Ostaszewski, Illinois State University

"Examples are infinitely more interesting than in almost any other book! Ross always explains clearly, I especially enjoy the exposition of the brand new sections" - Matt Carlton, Cal Polytechnic Institute
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About Sheldon M. Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. 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, and a recipient of the Humboldt US Senior Scientist Award.
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Table of contents

Preface; Introduction; Elements of Probability;
Random Numbers; Generating Discrete Random Variables; Generating Continuous Random Variables; The Discrete Event Simulation Approach; Statistical Analysis of Simulated Data; Variance Reduction Techniques; Statistical Validation Techniques; Markov Chain Monte Carlo Methods; Some Additional Topics; Exercises; References; Index
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Review Text

"His is a book that makes a very serious effort to go in the same direction as the changes in computing technology. To the best of my knowledge this is the only teaching book on simulation. It is outstanding because it is what it is and no other textbook out there does this job.
- Kris Ostaszewski, Illinois State University

"Examples are infinitely more interesting than in almost any other book! Ross always explains clearly, I especially enjoy the exposition of the brand new sections
- Matt Carlton, Cal Polytechnic Institute
show more

Rating details

35 ratings
3.88 out of 5 stars
5 34% (12)
4 29% (10)
3 29% (10)
2 9% (3)
1 0% (0)
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