Essentials of Monte Carlo Simulation

Released on by Nick T. Thomopoulos
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  • Essentials of Monte Carlo Simulation Book Detail

  • Author : Nick T. Thomopoulos
  • Release Date : 2012-12-19
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 184
  • ISBN 13 : 1461460220
  • File Size : 66,66 MB
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Essentials of Monte Carlo Simulation by Nick T. Thomopoulos PDF Summary

Book Description: 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.

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Essentials of Monte Carlo Simulation

Essentials of Monte Carlo Simulation

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Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in th

Introducing Monte Carlo Methods with R

Introducing Monte Carlo Methods with R

File Size : 74,74 MB
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This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique