Statistical simulation

Author: Sheldon M. Ross [USA]
Publisher:
Publish Date: 2006-01-01
Features: This book introduces some practical methods and techniques of statistical simulation. After a brief review of the basic knowledge of probability, it explains how to use computers to generate random numbers and how to use these random numbers to generate random variables with arbitrary distributions, random processes, and more. Then, it introduces methods and techniques for analyzing compiled data, such as Bootstrap and variance reduction techniques. Next, it explains how to use statistical simulation to determine whether the selected random model fits the actual data. Finally, it introduces MCMC and some newly developed statistical simulation techniques and topics. This book can be used as a textbook for undergraduate students in statistics, computational mathematics, insurance, actuarial science, and related fields, and can also serve as a reference for professionals in related fields.