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Simulation / Sheldon M. Ross.

By: Publication details: London, United Kingdom : Academic Press, an imprint of Elsevier, 2023.Edition: Sixth editionDescription: xii, 320 pages : illustrations ; 24 cmISBN:
  • 9780323857390
  • 0323857396
Subject(s): DDC classification:
  • 519.2 23
LOC classification:
  • QA 273 .R82 2023
Contents:
1 : Introduction -- 2 : Elements of probability -- 3 : Random numbers -- 4 : Generating discrete random variables -- 5 : Generating continuous random variables -- 6 : The multivariate normal distribution and copulas -- 7 : The discrete event simulation approach -- 8 : Statistical analysis of simulated data -- 9 : Variance reduction techniques -- 10 : Additional variance reduction techniques -- 11 : Statistical validation techniques -- 12 : Markov chain Monte Carlo methods
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 random numbers to generate the behavior of a stochastic model over time, this book presents the statistics needed to analyze simulated data and validate simulation models. --
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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 519.2 ROS (Browse shelf(Opens below)) 1 Checked out 08/07/2024 3010041478
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 519.2 ROS (Browse shelf(Opens below)) 2 Available 3010041477
Total holds: 0

Previous edition: 2013.

Includes bibliographical references and index.

1 : Introduction -- 2 : Elements of probability -- 3 : Random numbers -- 4 : Generating discrete random variables -- 5 : Generating continuous random variables -- 6 : The multivariate normal distribution and copulas -- 7 : The discrete event simulation approach -- 8 : Statistical analysis of simulated data -- 9 : Variance reduction techniques -- 10 : Additional variance reduction techniques -- 11 : Statistical validation techniques -- 12 : Markov chain Monte Carlo methods

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 random numbers to generate the behavior of a stochastic model over time, this book presents the statistics needed to analyze simulated data and validate simulation models. --

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