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| This paperback edition is a reprint of the 2001 Springer edition. 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 the textbook for a graduate-level course on Monte Carlo methods. Many problems discussed in the alter chapters can be potential thesis topics for masters' or Ph.D. students in statistics or computer science departments. |
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| Binding: Softcover |
| Specs: 343 pages | 1.16 Lbs |
| ISBN: 0387763694 |
| ISBN-13: 9780387763699 |
| Edition: 1 |
| Publisher: Springer Nature | Publish Date 01/08 | Copyright 2004 |
| Series: Springer Series in Statistics |
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