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Statistical Modeling and Decision Science Ser.: Simulation by Sheldon M. Ross (1996, Hardcover)
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About this product
Product Identifiers
PublisherElsevier Science & Technology Books
ISBN-100125984103
ISBN-139780125984102
eBay Product ID (ePID)640073
Product Key Features
Number of Pages282 Pages
Publication NameSimulation
LanguageEnglish
SubjectData Modeling & Design, Probability & Statistics / General, Computer Simulation
Publication Year1996
TypeTextbook
AuthorSheldon M. Ross
Subject AreaMathematics, Computers
SeriesStatistical Modeling and Decision Science Ser.
FormatHardcover
Dimensions
Item Height0.7 in
Item Weight18.6 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
LCCN96-030669
Dewey Edition23
IllustratedYes
Dewey Decimal519.2
Table Of ContentElements 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.
SynopsisSimulation allows complex real world situations to be analyzed quantitatively. First, a model is created to represent the situation, then, using probability and statistics theory, the computer can perform a simulation to predict the outcome of this situation. This text provides a description of the generation of random variables and their use in analyzing a model in simulation study. It details how a computer may be used to generate random numbers, which may then be used to generate the behaviour of a stochastic model over time. The statistics needed to analyze simulated data and to validate the simulation model are also presented.
LC Classification NumberQA273.R82 1996
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