𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Simulation || Random Numbers

✍ Scribed by Ross, Sheldon


Book ID
120156239
Publisher
Elsevier
Year
2013
Tongue
English
Weight
178 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


Multiple use of random numbers in discre
✍ Thomas KΓ€mpke πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 444 KB

A method is presented for using a single (0,l) uniform random number to yield stochastically independent random numbers having a given finite distribution. The adaption of the alias method to the given procedure is outlined. An application to simulate Brownian motion is given.

RANDOM NUMBERS
✍ CLARK KIMBERLING πŸ“‚ Article πŸ“… 1983 πŸ› National Council of Teachers of Mathematics βš– 852 KB
Random numbers
✍ David Myers πŸ“‚ Article πŸ“… 1984 πŸ› National Council of Teachers of Mathematics βš– 373 KB