Recent Advances In Applied Probability
Baeza-Yates, R. (EDT); Glaz, J. (EDT); Gzyl, Henryk (EDT); Hsler, Jorgen (EDT); Palacios, Jose Luis (EDT)
Language: English
Published by Springer, 2004
- Hardcover
- Used

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- Title
- Recent Advances In Applied Probability
- Author
- Baeza-Yates, R. (EDT); Glaz, J. (EDT); Gzyl, Henryk (EDT); Hsler, Jorgen (EDT); Palacios, Jose Luis (EDT)
- Publisher
- Springer
- Publication year
- 2004
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387233784
- ISBN 13
- 9780387233789
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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