An Introduction to Statistical Computing
a simulation-based approach
$267.96
- Hardcover
396 pages
- Release Date
28 October 2013
Summary
Mastering Statistical Computing: A Comprehensive Guide to Sampling Methods
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 sam…
Book Details
| ISBN-13: | 9781118357729 |
|---|---|
| ISBN-10: | 1118357728 |
| Series: | Wiley Series in Computational Statistics |
| Author: | Jochen Voss |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 396 |
| Edition: | 1st |
| Release Date: | 28 October 2013 |
| Weight: | 635g |
| Dimensions: | 238mm x 161mm x 24mm |
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What They're Saying
Critics 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)
About The Author
Jochen Voss
Jochen Voss, School of Mathematics, University of Leeds, UK.
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