An Introduction to Statistical Computing

A Simulation-based Approach

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book An Introduction to Statistical Computing by Jochen Voss, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jochen Voss ISBN: 9781118728024
Publisher: Wiley Publication: August 28, 2013
Imprint: Wiley Language: English
Author: Jochen Voss
ISBN: 9781118728024
Publisher: Wiley
Publication: August 28, 2013
Imprint: Wiley
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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

More books from Wiley

Cover of the book Brand Admiration by Jochen Voss
Cover of the book Starting a Business For Dummies - UK by Jochen Voss
Cover of the book The Amish Way by Jochen Voss
Cover of the book Society 5.0 by Jochen Voss
Cover of the book Quantitative Microbial Risk Assessment by Jochen Voss
Cover of the book Esthetic Soft Tissue Management of Teeth and Implants by Jochen Voss
Cover of the book Assessment Essentials by Jochen Voss
Cover of the book English Language Arts, Grade 12 Module 2 by Jochen Voss
Cover of the book Dating - Philosophy for Everyone by Jochen Voss
Cover of the book On Being Presidential by Jochen Voss
Cover of the book Why Some Politicians Are More Dangerous Than Others by Jochen Voss
Cover of the book Oligonucleotide-Based Drugs and Therapeutics by Jochen Voss
Cover of the book Handbook of Marine Macroalgae by Jochen Voss
Cover of the book The Art and Science of Technical Analysis by Jochen Voss
Cover of the book Benefits of Bayesian Network Models by Jochen Voss
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy