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Simulation
About this book
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.
- 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
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Simulation by Sheldon M. Ross in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Title Page
- Copyright page
- Table of Contents
- Preface
- 1. Introduction
- 2. Elements of Probability
- 3. Random Numbers
- 4. Generating Discrete Random Variables
- 5. Generating Continuous Random Variables
- 6. The Discrete Event Simulation Approach
- 7. Statistical Analysis of Simulated Data
- 8. Variance Reduction Techniques
- 9. Statistical Validation Techniques
- 10. Markov Chain Monte Carlo Methods
- 11. Some Additional Topics
- Index