| Title:
|
MONTE CARLO STRATEGIES IN SCIENTIFIC COMPUTING
|
| By: |
Jun S. Liu |
| Format: |
Paperback |
| List price:
|
£109.99 |
|
We currently do not stock this item, please contact the publisher directly for
further information.
|
|
|
|
|
|
| ISBN 10: |
0387763694 |
| ISBN 13: |
9780387763699 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
4 January, 2008 |
| Edition: |
1st ed. 2001, 2nd printing 2008 |
| Series: |
Springer Series in Statistics |
| Pages: |
344 |
| Description: |
This book provides an up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. It can be used as a textbook for a graduate-level course on Monte Carlo methods. |
| Synopsis: |
This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods. |
| Illustrations: |
XVI, 344 p. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |