| Recent Advances in Applied Probability 2005 Edition Contributor(s): Baeza-Yates, Ricardo (Editor), Glaz, Joseph (Editor), Gzyl, Henryk (Editor) |
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ISBN: 0387233784 ISBN-13: 9780387233789 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: November 2004 Annotation: Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area. This volume will be of interest to graduate students and researchers whose research is closely connected to probability modelling and their applications. It is suitable for one semester graduate level research seminar in applied probability. |
| Additional Information |
| BISAC Categories: - Mathematics | Linear & Nonlinear Programming - Mathematics | Probability & Statistics - General - Business & Economics | Operations Research |
| Dewey: 519.2 |
| LCCN: 83018743 |
| Physical Information: 1.13" H x 6.14" W x 9.21" (1.96 lbs) 497 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area. This volume will be of interest to graduate students and researchers whose research is closely connected to probability modelling and their applications. It is suitable for one semester graduate level research seminar in applied probability. |