9781118357729-1118357728-An Introduction to Statistical Computing: A Simulation-based Approach

An Introduction to Statistical Computing: A Simulation-based Approach

ISBN-13: 9781118357729
ISBN-10: 1118357728
Edition: 1
Author: Voss, Jochen
Publication date: 2013
Publisher: Wiley
Format: Hardcover 396 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9781118357729
ISBN-10: 1118357728
Edition: 1
Author: Voss, Jochen
Publication date: 2013
Publisher: Wiley
Format: Hardcover 396 pages

Summary

Acknowledged authors Voss, Jochen wrote An Introduction to Statistical Computing: A Simulation-based Approach comprising 396 pages back in 2013. Textbook and eTextbook are published under ISBN 1118357728 and 9781118357729. Since then An Introduction to Statistical Computing: A Simulation-based Approach textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book