An Introduction to Statistical Computing: A Simulation-based Approach

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9781118357729: An Introduction to Statistical Computing: A Simulation-based Approach

A comprehensive introduction to sampling-based methods in statistical computing

The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods.

An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such as approximate Bayesian computation and multilevel Monte Carlo techniques

An Introduction to Statistical Computing:

  • Fully covers the traditional topics of statistical computing.
  • Discusses both practical aspects and the theoretical background.
  • Includes a chapter about continuous-time models.
  • Illustrates all methods using examples and exercises.
  • Provides answers to the exercises (using the statistical computing environment R); the corresponding source code is available online.
  • Includes an introduction to programming in R.

This book is mostly self-contained; the only prerequisites are basic knowledge of probability up to the law of large numbers. Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course

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About the Author:

Jochen Voss
School of Mathematics, University of Leeds, UK

Review:

"The exposition is quite clear, intuitive, and is a useful complement to more abstract treatises on stochastic calculus and simulation."   (MathSciNet, 1 December 2015)

“Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course.”  (Zentralblatt MATH, 1 March 2014)

“Statistical computing in its broadest sense is an ever-growing field far too extensive to be covered in a single text. The current book has a far more manageable scope, notwithstanding its title. Its focus is on the use of Monte Carlo methods to simulate random systems and explore statistical models.”  (Mathematical Association of America, 1 January 2014)

 

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Jochen Voß
Editorial: John Wiley Sons Inc, United States (2013)
ISBN 10: 1118357728 ISBN 13: 9781118357729
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Descripción John Wiley Sons Inc, United States, 2013. Hardback. Estado de conservación: New. 1. Auflage. Language: English . Brand New Book. A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such as approximate Bayesian computation and multilevel Monte Carlo techniques An Introduction to Statistical Computing: * Fully covers the traditional topics of statistical computing. * Discusses both practical aspects and the theoretical background. * Includes a chapter about continuous-time models. * Illustrates all methods using examples and exercises. * Provides answers to the exercises (using the statistical computing environment R); the corresponding source code is available online. * Includes an introduction to programming in R. This book is mostly self-contained; the only prerequisites are basic knowledge of probability up to the law of large numbers. Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course. Nº de ref. de la librería AAH9781118357729

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Descripción John Wiley Sons Inc, United States, 2013. Hardback. Estado de conservación: New. 1. Auflage. Language: English . Brand New Book. A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such as approximate Bayesian computation and multilevel Monte Carlo techniques An Introduction to Statistical Computing: * Fully covers the traditional topics of statistical computing. * Discusses both practical aspects and the theoretical background. * Includes a chapter about continuous-time models. * Illustrates all methods using examples and exercises. * Provides answers to the exercises (using the statistical computing environment R); the corresponding source code is available online. * Includes an introduction to programming in R. This book is mostly self-contained; the only prerequisites are basic knowledge of probability up to the law of large numbers. Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course. Nº de ref. de la librería AAH9781118357729

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Descripción Wiley 2013-10-18, Chichester, 2013. hardback. Estado de conservación: New. Nº de ref. de la librería 9781118357729

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Descripción Wileyand#8211;Blackwell, 2013. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9781118357729

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Descripción Wiley, 2013. Estado de conservación: New. A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. Series: Wiley Series in Computational Statistics. Num Pages: 396 pages, black & white illustrations, black & white tables, figures. BIC Classification: PBT; UYM. Category: (P) Professional & Vocational. Dimension: 160 x 230 x 23. Weight in Grams: 636. . 2013. 1st Edition. Hardcover. . . . . . Nº de ref. de la librería V9781118357729

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Descripción Wiley. Estado de conservación: New. A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. Series: Wiley Series in Computational Statistics. Num Pages: 396 pages, black & white illustrations, black & white tables, figures. BIC Classification: PBT; UYM. Category: (P) Professional & Vocational. Dimension: 160 x 230 x 23. Weight in Grams: 636. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9781118357729

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Descripción Wiley-Blackwell, 2013. Estado de conservación: New. book. Nº de ref. de la librería ria9781118357729_rkm

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Descripción Wiley Series in Computational Statistics, 2013. Estado de conservación: New. Nº de ref. de la librería EH9781118357729

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Descripción 2013. Hardback. Estado de conservación: NEW. 9781118357729 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. de la librería HTANDREE0787332

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