Download Ebook Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models, by Nick T. Thomopoulos
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Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models, by Nick T. Thomopoulos
Download Ebook Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models, by Nick T. Thomopoulos
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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 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.�
- Published on: 2015-01-28
- Released on: 2015-01-28
- Original language: English
- Number of items: 1
- Dimensions: 9.26" h x .46" w x 6.11" l, .61 pounds
- Binding: Paperback
- 174 pages
Review
...the author notes that the text is intended for users who want to know more about how the Monte Carlo model “does what it does.” He goes on to further describe the book as telling the user how to cope with simulation models that are associated with two or more variables that are correlated and jointly related, that is, are multivariate in nature. The book will also help users who are confronted with a probability distribution that does not comply with those available in the software they are using...I like the fact that the author uses several examples that are fairly easy to follow for the analyst. Problems assigned to each chapter with corresponding solutions are presented in the appendices for the reader to test their knowledge of the material.
Technometrics 56:1 2014
From the Back Cover
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 very many 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. More than 100 numerical examples are presented in the chapters to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. With a strong focus in the area of computer Monte Carlo simulation methods, this book will appeal to students and researchers in the fields of Mathematics and Statistics.
�
Nick T. Thomopoulos is a professor emeritus at the Illinois Institute of Technology. He is the author of six books, including Fundamentals of Queuing Systems (2012). He has more than 100 published papers and presentations to his credit, and for many years, he has consulted in a wide variety of industries in the United States, Europe, and Asia. He has been the recipient of numerous honors, such as the Rist Prize in 1972 from the Military Operations Research Society for new developments in queuing theory, the Distinguished Professor Award in Bangkok, Thailand in 2005 from the IIT Asian Alumni Association, and the Professional Achievement Award in 2009 from the IIT Alumni Association.
About the Author
Nick T. Thomopoulos is a professor emeritus at the Illinois Institute of Technology. He is the author of six books, including Fundamentals of Queuing Systems (2012). He has more than 100 published papers and presentations to his credit, and for many years, he has consulted in a wide variety of industries in the United States, Europe, and Asia. He has been the recipient of numerous honors, such as the Rist Prize in 1972 from the Military Operations Research Society for new developments in queuing theory, the Distinguished Professor Award in Bangkok, Thailand in 2005 from the IIT Asian Alumni Association, and the Professional Achievement Award in 2009 from the IIT Alumni Association.
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Most helpful customer reviews
7 of 7 people found the following review helpful.
Excellent Advanced Introduction to Monte Carlo
By Michael Hunstad
This book fills a missing gap in the spectrum of Monte Carlo texts. At one extreme you have the works of Kelton and Law (and the like) which, while excellent, are encyclopedic in their approach and targeted to advanced students. At the other you have softer, more pedestrian introductions aimed at individuals with little or no background in the field. This book falls in between.
I should note that I took a PhD level course in Monte Carlo methods from the author while he was on the faculty of the Illinois Institute of Technology. While our official text was Kelton and Law, this book reads like my course notes - a succinct and utterly relevant distillation of the main points of Kelton and Law. Of course, there is also plenty of unique material that make the book worthwhile in its own right.
Finally, this book is extremely practical - it's for those who actually want to do Monte Carlo. It's not program or language specific (it won't tell you anything about how to use @RISK) but gives you all the necessary algorithms in the form of pseudo-code to utilize them in any programming language. It is an absolutely invaluable tool to have on hand when you are struggling with modeling problems.
1 of 1 people found the following review helpful.
Great book!
By WDP
Excellent book! It's full of very useful and practical information.
0 of 1 people found the following review helpful.
Is useless for those that actually talk to people
By T-Bone Tommy
Horrific. Why Amazon wont be clear exactly what this book contains is baffling to me. This is a book for programmers of the language. This is not shown in the 'sample pages' by Amazon. Is useless for those that actually talk to people. Just formulas. Stay away. Now I ate $130 for crap.
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