Recent Advances in Applied Probability

Ricardo Baeza-Yates

ISBN 10: 0387233784 / ISBN 13: 9780387233789

Editore: Springer US, Springer US Nov 2004, 2004

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 516 pp. Englisch.

Codice articolo 9780387233789

Dati bibliografici

• Titolo: Recent Advances in Applied Probability
• Editore: Springer US, Springer US Nov 2004
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 0387233784
• ISBN 13: 9780387233789
• Rilegatura: Buch
• Condizione: Neu

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Riassunto

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.