Recent Advances in Applied Probability
Baeza-Yates Ricardo
Sold by Majestic Books, Hounslow, United Kingdom
AbeBooks Seller since January 19, 2007
New - Hardcover
Condition: New
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Add to basketSold by Majestic Books, Hounslow, United Kingdom
AbeBooks Seller since January 19, 2007
Condition: New
Quantity: 4 available
Add to basketPrint on Demand pp. 512 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Seller Inventory # 7596950
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.
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.
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