Monte Carlo Strategies in Scientific Computing (Paperback, 1st ed. 2001, 2nd printing 2008)


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.


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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Springer Series in Statistics

Release date

2008

Availability

Expected to ship within 10 - 15 working days

First published

2004

Authors

Dimensions

229 x 152 x 20mm (L x W x T)

Format

Paperback

Pages

344

Edition

1st ed. 2001, 2nd printing 2008

ISBN-13

978-0-387-76369-9

Barcode

9780387763699

Categories

LSN

0-387-76369-4



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