Essentials of Monte Carlo Simulation

Essentials of Monte Carlo Simulationfocusesonthe fundamentals of Monte Carlomethods using basic computer simulation techniques. The theories presented in this text deal withsystems that are too complex to solve analytically. As a result, readers are givenasystem of interest and constructsusing computer code, as well asalgorithmic modelsto emulate how the system works internally. After the models arerun severaltimes, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. Thisbook features11 comprehensive chapters, and discusses such keytopics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrateuseful real worldapplications.The text also contains an easy to readpresentation with minimal use of difficult mathematical concepts.Very 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.