Isbn: 9781461460213 - essentials of monte carlo simulation: statistical methods for building simulation models (18 resultados)

Hardcover. Condición: Very Good. This book has minor rubbing and surface scratching to both covers, shelfwear to the edges and corners of the covers including fraying to the top corners, and a slightly loose front hinge, otherwise this book is in excellent condition with crisp, unmarked pages, a tight binding, and a clean, glossy cover.…

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Hardcover. Condición: Brand New. 2013 edition. 189 pages. 9.25x0.55x6.10 inches. In Stock.

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Buch. Condición: 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.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Essentials of Monte Carlo Simulationfocusesonthe fundamentals of Monte Carlomethods using basic computer simulation techniques. The theories presented in this text deal withsystems that are too complex to solve analytically. As a result, readers are givenasystem of interest and constructsusing computer code, as well asalgorithmic modelsto emulate how the system works internally. After the models arerun severaltimes, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. Thisbook features11 comprehensive chapters, and discusses such keytopics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrateuseful real worldapplications.The text also contains an easy to readpresentation 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.…

Condición: New. Print on Demand pp. 192 10 Illus. (Col.).

Condición: New. PRINT ON DEMAND pp. 192.

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Buch. Condición: Neu. nach der Bestellung gedruckt 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.…