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Simulation de Sheldon M. Ross

Simulation

Autor Sheldon M. Ross
en Limba Engleză Hardback – 7 dec 2012
The 5thedition of Ross’sSimulationcontinues 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 5thedition 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, 5thedition 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
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Specificații

ISBN-13: 9780124158252
ISBN-10: 0124158250
Pagini: 328
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.52 kg
Ediția:5. Auflage.
Editura: ELSEVIER SCIENCE

Public țintă

Senior/graduate level students taking a course in Simulation, found in many different departments, including: Computer Science, Industrial Engineering, Operations Research, Statistics, Mathematics, Electrical Engineering, and Quantitative Business Analysis.

Cuprins

Chapter 1 - Introduction Chapter 2 - Elements of Probability Chapter 3 - Random Numbers Chapter 4 - Generating Discrete Random Variables Chapter 5 - Generating Continuous Random Variables Chapter 6 - The Multivariate Normal Distribution and Copulas Chapter 7 - The Discrete Event Simulation Approach Chapter 8 - Statistical Analysis of Simulated Data Chapter 9 - Variance Reduction Techniques Chapter 10 - Additional Variance Reduction Techniques Chapter 11 - Statistical Validation Techniques Chapter 12 - Markov Chain Monte Carlo Methods

Recenzii

"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

Descriere

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