9780470258798 - solutions manual to accompany simulation and the monte carlo method: 732 (wiley series in probability and statistics) de kroese, dirk p. (20 resultados)

Solutions Manual to Accompany Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
Kroese, Dirk P.; Taimre, Thomas; Botev, Zdravko I.; Rubinstein, Reuven Y.
Idioma: Inglés
Editorial: Wiley-Interscience, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Editorial: Wiley, 2008
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Simulation and the Monte Carlo Method
Kroese, Dirk P.; Taimre, Thomas; Botev, Zdravko I.; Rubinstein, Reuven Y.
Idioma: Inglés
Editorial: Wiley-Interscience, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
- Tapa blanda
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Simulation and the Monte Carlo Method
Kroese, Dirk P.; Taimre, Thomas; Botev, Zdravko I.; Rubinstein, Reuven Y.
Idioma: Inglés
Editorial: Wiley-Interscience, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
- Tapa blanda
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Solutions Manual to Accompany Simulation and the Monte Carlo Method
Kroese Dirk P. Rubinstein Reuven Y. Botev Zdravko I. Taimre Thomas
Idioma: Inglés
Editorial: John Wiley & Sons, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Condición: New. pp. 188.

Simulation and the Monte Carlo Method
Kroese, Dirk P.; Taimre, Thomas; Botev, Zdravko I.; Rubinstein, Reuven Y.
Idioma: Inglés
Editorial: Wiley-Interscience, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
- Tapa blanda
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Simulation and the Monte Carlo Method
Kroese, Dirk P.; Taimre, Thomas; Botev, Zdravko I.; Rubinstein, Reuven Y.
Idioma: Inglés
Editorial: Wiley-Interscience, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
- Tapa blanda
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Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Condición: New. Explores the major topics in Monte Carlo simulation. This title features the information that facilitates an understanding of problem solving across a wide array of subject areas, such as engineering, mathematics, and the physical and life sciences. It introduces the basic concepts of probability, Markov processe…s, and convex optimization. Series: Wiley Series in Probability and Statistics. Num Pages: 188 pages, , black & white illustrations, figures. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 235 x 159 x 11. Weight in Grams: 312. . 2007. 2nd Edition. Paperback. . . . .

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Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Solutions Manual to Accompany Simulation and the Monte Carlo Method
Dirk P. Kroese Reuven Y. Rubinstein Zdravko I. Botev Thomas Taimre
Idioma: Inglés
Editorial: John Wiley & Sons, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Condición: New. pp. 188 2nd Edition.

Idioma: Inglés
Editorial: Wiley-Interscience, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Paperback. Condición: Brand New. 2nd solutions manual edition. 188 pages. 9.00x6.25x0.50 inches. In Stock.

Idioma: Inglés
Editorial: John Wiley and Sons Ltd, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Condición: New. Explores the major topics in Monte Carlo simulation. This title features the information that facilitates an understanding of problem solving across a wide array of subject areas, such as engineering, mathematics, and the physical and life sciences. It introduces the basic concepts of probability, Markov processe…s, and convex optimization. Series: Wiley Series in Probability and Statistics. Num Pages: 188 pages, , black & white illustrations, figures. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 235 x 159 x 11. Weight in Grams: 312. . 2007. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.

Idioma: Inglés
Editorial: John Wiley & Sons, 2008
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Condición: New. This accessible new edition explores the major topics in Monte Carlo simulationSimulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics tha.

Idioma: Inglés
Editorial: Wiley Dez 2007, 2007
Serie: Wiley Series in Probability and Statistics, Libro 209 de 358. Libro 209 de 358 - Wiley Series in Probability and Statistics
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Taschenbuch. Condición: Neu. Neuware - This accessible new edition explores the major topics in Monte Carlo simulationSimulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simu…lation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences.The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including:Markov Chain Monte CarloVariance reduction techniques such as the transform likelihood ratio method and the screening methodThe score function method for sensitivity analysisThe stochastic approximation method and the stochastic counter-part method for Monte Carlo optimizationThe cross-entropy method to rare events estimation and combinatorial optimizationApplication of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy methodAn extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB(r) programs.Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.

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Paperback. Condición: Brand New. 2nd solutions manual edition. 188 pages. 9.00x6.25x0.50 inches. In Stock. This item is printed on demand.

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Idioma: Inglés
Editorial: John Wiley & Sons Inc, Hoboken, 2008
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Paperback. Condición: new. Paperback. This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simu…lation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method. Explores the major topics in Monte Carlo simulation. This title features the information that facilitates an understanding of problem solving across a wide array of subject areas, such as engineering, mathematics, and the physical and life sciences. It introduces the basic concepts of probability, Markov processes, and convex optimization. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.