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Essentials of Monte Carlo Simulation

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Release : 2012-12-19
Genre : Mathematics
Kind : eBook
Book Rating : 220/5 ( reviews)

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Book Synopsis Essentials of Monte Carlo Simulation by : Nick T. Thomopoulos

Download or read book Essentials of Monte Carlo Simulation written by Nick T. Thomopoulos. This book was released on 2012-12-19. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Essentials of Monte Carlo Simulation

Download Essentials of Monte Carlo Simulation PDF Online Free

Author :
Release : 2012-12-01
Genre :
Kind : eBook
Book Rating : 237/5 ( reviews)

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Book Synopsis Essentials of Monte Carlo Simulation by : Springer

Download or read book Essentials of Monte Carlo Simulation written by Springer. This book was released on 2012-12-01. Available in PDF, EPUB and Kindle. Book excerpt:

Monte Carlo Simulation and Resampling Methods for Social Science

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Release : 2013-08-05
Genre : Social Science
Kind : eBook
Book Rating : 923/5 ( reviews)

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Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey. This book was released on 2013-08-05. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Monte Carlo Methods in Financial Engineering

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Author :
Release : 2013-03-09
Genre : Mathematics
Kind : eBook
Book Rating : 170/5 ( reviews)

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Book Synopsis Monte Carlo Methods in Financial Engineering by : Paul Glasserman

Download or read book Monte Carlo Methods in Financial Engineering written by Paul Glasserman. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis

Introducing Monte Carlo Methods with R

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Author :
Release : 2010
Genre : Computers
Kind : eBook
Book Rating : 753/5 ( reviews)

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Book Synopsis Introducing Monte Carlo Methods with R by : Christian Robert

Download or read book Introducing Monte Carlo Methods with R written by Christian Robert. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: 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 and providing the output for better understanding and comparison.

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