𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Simulation || The Discrete Event Simulation Approach

✍ Scribed by Ross, Sheldon


Book ID
120280620
Publisher
Elsevier
Year
2013
Tongue
English
Weight
381 KB
Edition
5
Category
Article
ISBN
0124158250

No coin nor oath required. For personal study only.

✦ Synopsis


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.

New to this Edition:

  • 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

πŸ“œ SIMILAR VOLUMES


Discrete event simulation
✍ Jacob, Matthew πŸ“‚ Article πŸ“… 2013 πŸ› Indian Academy of Sciences 🌐 English βš– 164 KB
Parallel Discrete-Event Simulation Appli
✍ Carl Tropper πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 70 KB

Over the past decade, techniques for parallel and distributed discrete-event simulation have been developed largely within the academic research community. The advent of cluster computing and desktop multiprocessors has now made it feasible to bring these results to bear on the simulation of large,