| Advances in Stochastic Simulation Methods 2000 Edition Contributor(s): Balakrishnan, N. (Editor), Melas, V. B. (Editor), Ermakov, S. (Editor) |
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ISBN: 0817641076 ISBN-13: 9780817641078 Publisher: Birkhauser OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: June 2000 Annotation: This carefully edited book discusses new methods and applications for stochastic simulation and experimental design with the focus on methodological issues and recent developments for computer simulations in statistical application problems. A large number of topics are treated, including computer simulation methodology queueing systems, statistical methods in simulation, optimal experimental design, and numerical algorithms. The book will be an essential up-to-date resource for researchers and professionals in applied statistics, experimental design, operations research and stochastic simulation. |
| Additional Information |
| BISAC Categories: - Computers | Desktop Applications - Word Processing - Mathematics | Probability & Statistics - General |
| Dewey: 519.5 |
| LCCN: 00039791 |
| Series: Statistics for Industry and Technology |
| Physical Information: 0.98" H x 7.23" W x 10.27" (1.90 lbs) 386 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This is a volume consisting of selected papers that were presented at the 3rd St. Petersburg Workshop on Simulation held at St. Petersburg, Russia, during June 28-July 3, 1998. The Workshop is a regular international event devoted to mathematical problems of simulation and applied statistics organized by the Department of Stochastic Simulation at St. Petersburg State University in cooperation with INFORMS College on Simulation (USA). Its main purpose is to exchange ideas between researchers from Russia and from the West as well as from other coun- tries throughout the World. The 1st Workshop was held during May 24-28, 1994, and the 2nd workshop was held during June 18-21, 1996. The selected proceedings of the 2nd Workshop was published as a special issue of the Journal of Statistical Planning and Inference. Russian mathematical tradition has been formed by such genius as Tchebysh- eff, Markov and Kolmogorov whose ideas have formed the basis for contempo- rary probabilistic models. However, for many decades now, Russian scholars have been isolated from their colleagues in the West and as a result their mathe- matical contributions have not been widely known. One of the primary reasons for these workshops is to bring the contributions of Russian scholars into lime- light and we sincerely hope that this volume helps in this specific purpose. |