The intended audience is wide, including students and new practitioners not only in economics and finance, but also in mathematics, statistics, and engineering. Prerequisites include the
essentials of probability and statistics as well as some basic programming skills. The scope is also wide rather than deep, making this text useful as an introductory or medium-level text;
advanced level students can skip the introductory chapters on stochastic modeling and estimation, and references are included throughout for more detailed treatment. Coverage encompasses input
analysis, modeling, and estimation; random variate and sample path generation; and output analysis and variance reduction. Applications range from option pricing and risk management to
optimization. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
