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US$ 90.83
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Add to baskethardcover. Condition: Gut. 192 Seiten; 9781461460213.3 Gewicht in Gramm: 500.
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Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models
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Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models
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Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models
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Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models
Published by Springer New York, Springer US, 2015
ISBN 10: 1489986081 ISBN 13: 9781489986085
Language: English
US$ 199.51
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 : Statistical Methods for Building Simulation Models
Published by Springer New York, Springer US, 2012
ISBN 10: 1461460212 ISBN 13: 9781461460213
Language: English
US$ 201.33
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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US$ 284.32
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Add to basketHardcover. Condition: Brand New. 2013 edition. 189 pages. 9.25x0.55x6.10 inches. In Stock.
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Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Essentials of Monte Carlo Simulation
Published by Springer New York Jan 2015, 2015
ISBN 10: 1489986081 ISBN 13: 9781489986085
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 123.03
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch.
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Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461460212 ISBN 13: 9781461460213
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 204.25
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 460.
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Essentials of Monte Carlo Simulation
Published by Springer New York, Chapman And Hall/CRC Dez 2012, 2012
ISBN 10: 1461460212 ISBN 13: 9781461460213
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 196.85
Convert currencyUS$ 25.68 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch.
