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Simulation, Fifth Edition, by Sheldon M. Ross
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The 5th edition of Ross’s Simulation 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 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 latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables.
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, Ross’s Simulation, 5th edition presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.
- Additional material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis
- Additional material and examples on Markov chain Monte Carlo methods
- Unique material on the alias method for generating discrete random variables
- Additional material on generating multivariate normal vectors
- Sales Rank: #421745 in Books
- Brand: Brand: Academic Press
- Published on: 2012-11-05
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 6.25" w x .10" l, 1.14 pounds
- Binding: Hardcover
- 328 pages
- Used Book in Good Condition
Review
"I have always liked Ross’ books, as he is simultaneously mathematically rigorous and very interested in applications. The biggest strength I see is the rare combination of mathematical rigor and illustration of how the mathematical methodologies are applied in practice. Books with practical perspective are rarely this rigourous and mathematically detailed. I also like the variety of exercises, which are quite challenging and demanding excellence from students." --Prof. Krzysztof Ostaszewski, Illinois State University
About the Author
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.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Excellent review of simulation techniques at an intermediate level.
By Lars Ängquist
According to the books I have consulted by S. M. Ross, I consider him to
be a tremendous author, with this book being my absolute favourite. It
is inspirational, clear, creative and (most of all) fun to read.
Starting off from the very basics regarding probability, random numbers
and generation of random variables, Professor Ross steadily guides the
reader through, for instance, simulation with respect to some queueing
systems, validation techniques (e.g. goodness-of-fit tests;
Kolmogorov-Smirnov tests), the standard MCMC-methods and various variance
reduction techniques. The latter chapter is the one that I found most
enlightening including, for instance, a certainly rewarding section on
importance sampling (weighted simulation). Throughout, a lot of
well-chosen examples enhance students/readers understanding and interest
of the subject.
One might note that this is by no means the most advanced or complete book
on Monte Carlo simulation out there, see e.g.
Monte Carlo Statistical Methods (Springer Texts in Statistics)
or
Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability),
rather it evolves at an intermediate level covering a few more advanced
concepts as, for example, coupling from the past. But, having this in
mind, this is the book to get. Pure concentrated fun (xiii+274 pages).
Final note: In 2006 the fourth edition was launched. [Simulation, Fourth Edition]
30 of 45 people found the following review helpful.
A reader from Saudi Arabia
By A Customer
This is an excelent textbook explaining what simulation means and how to deepen your knowalge. You have to be a good programmer in order to use this book (and simulation generally)and the author should have added an andex for such a language and how its connection with simualtion ( C or C++) although my experience would elect MATLAB as prefernce!! This text does not requir any prior experience regarding simulatin although taking a course in statistics and probability would be advantageous!!
0 of 0 people found the following review helpful.
Good book for learning the theory behind coding math
By Michael
My prof in grad school used this as the text to go along with an introductory R class to keep our costs down. This book is small but has so much in it. Good book for learning the theory behind coding math, but it's not a book on programming.
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