| Monte Carlo: Concepts, Algorithms, and Applications Contributor(s): Fishman, George (Author) |
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ISBN: 1441928472 ISBN-13: 9781441928474 Publisher: Springer OUR PRICE: $94.99 Product Type: Paperback Published: May 2011 |
| Additional Information |
| BISAC Categories: - Business & Economics | Operations Research - Business & Economics | Statistics - Business & Economics | Econometrics |
| Dewey: 330.015 |
| Series: Springer Series in Operations Research and Financial Enginee |
| Physical Information: 1.45" H x 7" W x 10" (2.73 lbs) 698 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book provides an introduction to the Monte Carlo method suitable for a one-or two-semester course for graduate and advanced undergraduate students in the mathematical and engineering sciences. It also can serve as a reference for the professional analyst. In the past, my inability to provide students with a single- source book on this topic for class and for later professional reference had left me repeatedly frustrated, and eventually motivated me to write this book. In addition to focused accounts of major topics, the book has two unifying themes: One concerns the effective use of information and the other concerns error control and reduction. The book describes how to incorporate information about a problem into a sampling plan in a way that reduces the cost of estimating its solution to within a specified error bound. Although exploiting special structures to reduce cost long has been a hallmark of the Monte Carlo method, the propen- sity of users of the method to discard useful information because it does not fit traditional textbook models repeatedly has impressed me. The present account aims at reducing the impediments to integrating this information. Errors, both statistical and computational, abound in every Monte Carlo sam- pling experiment, and a considerable methodology exists for controlling them. |