Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models by Nick T. Thomopoulos

by Nick T. Thomopoulos

Essentials of Monte Carlo Simulationafocusesaonathe fundamentals of Monte Carloamethods using basic computer simulation techniques. The theories presented in this text deal withasystems that are too complex to solve analytically. As a result, readers are givenaaasystem of interest and constructsausing computer code, as well asaalgorithmic modelsato emulate how the system works internally. After the models arearun severalatimes, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. Thisabook featuresa11 comprehensive chapters, and discusses such keyatopics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrateauseful real worldaapplications.aaThe text also contains an easy to readaapresentation with minimal use of difficult mathematical concepts.aaVery little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics.a"

Hardcover

First published November 30, 2012

Reviews

[Federico Lucifredi · Rating 5 out of 5]

I particularly enjoyed the treatment of (pseudo) Random Number Generators.