Essentials of Monte Carlo Simulation - Statistical Methods for Building Simulation Models (Hardcover, 2013 ed.)

Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	December 2012
First published:	2013
Authors:	Nick T. Thomopoulos
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Hardcover
Pages:	174
Edition:	2013 ed.
ISBN-13:	978-1-4614-6021-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	1-4614-6021-2
Barcode:	9781461460213

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