Beschreibung:
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom" numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing.
This book serves as a reference for people interested in statisticalcomputing. The second edition discusses the R software, a freestatistical program of growing interest.
Simulating Random Numbers from a Uniform Distribution.- Quality of Random Number Generators.- Quasirandom Numbers.- Transformations of Uniform Deviates: General Methods.- Simulating Random Numbers from Specific Distributions.- Generation of Random Samples, Permutations, and Stochastic Processes.- Monte Carlo Methods.- Software for Random Number Generation.- Monte Carlo Studies in Statistics.