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Synopses & Reviews

Publisher Comments:

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.

New to this Edition:

-More focus on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis

-A chapter on Markov chain monte carlo methods with many examples

-Unique material on the alias method for generating discrete random variables

Synopsis:

Now updated, Ross's text 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.

Synopsis:

This text explains how to generate random variables which shows how to analyze a model by use of a simulation study. It shows 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. Presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.

�� Ross's writing style. He gives the words

personality and makes the material interesting and

lively.

�� Presents the statistics needed to analyze simulated

data as well as that needed for validating the

simulation model.

�� Applied examples are integrated throughout the text

to illustrate the theory and motivate the student,

such as multiple server queuing methods, inventory

control, and exercising stock options.

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.

University of Southern California, Los Angeles, USA

Table of Contents

lustrate the theory and motivate the student

Product Details

ISBN:
9780125980630
Author:
Ross, Sheldon M.
Publisher:
Academic Press
Credits:
Grammer, Red
Subject:
Applied
Subject:
Probabilities
Subject:
Computer simulation
Subject:
Probability & Statistics - Multivariate Analysis
Subject:
General Study Aids
Subject:
Statistics
Subject:
Mathematics - General
Edition Number:
4
Series:
Simulation, 4th Edition
Publication Date:
20060831
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
312
Dimensions:
9 x 6 in

Related Subjects

» Computers and Internet » Artificial Intelligence » General
» Science and Mathematics » Mathematics » Applied
» Science and Mathematics » Mathematics » General
» Science and Mathematics » Mathematics » Probability and Statistics » General
» Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Simulation, 4th Edition: New Hardcover
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$110.65 In Stock
Product details 312 pages Academic Press - English 9780125980630 Reviews:
"Synopsis" by , Now updated, Ross's text 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.

"Synopsis" by , This text explains how to generate random variables which shows how to analyze a model by use of a simulation study. It shows 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. Presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.

�� Ross's writing style. He gives the words

personality and makes the material interesting and

lively.

�� Presents the statistics needed to analyze simulated

data as well as that needed for validating the

simulation model.

�� Applied examples are integrated throughout the text

to illustrate the theory and motivate the student,

such as multiple server queuing methods, inventory

control, and exercising stock options.

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