Handbook of Probability
Ionut Florescu
Verkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Neu - Hardcover
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In den Warenkorb legenVerkauft von Kennys Bookstore, Olney, MD, USA
AbeBooks-Verkäufer seit 9. Oktober 2009
Zustand: Neu
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenThis handbook provides a complete, but accessible compendium of all the major theorems, applications, and methodologies that are necessary for a clear understanding of probability. Each chapter is self-contained utilizing a common format. Algorithms and formulae are stressed when necessary and in an easy-to-locate fashion. Series: Wiley Handbooks in Applied Statistics. Num Pages: 472 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 241 x 158 x 28. Weight in Grams: 778. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Bestandsnummer des Verkäufers V9780470647271
THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY
Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of theory, application, and methodology. Utilizing basic examples throughout, the handbook expertly transitions between concepts and practice to allow readers an inclusive introduction to the field of probability.
The book provides a useful format with self-contained chapters, allowing the reader easy and quick reference. Each chapter includes an introduction, historical background, theory and applications, algorithms, and exercises. The Handbook of Probability offers coverage of:
The Handbook of Probability is an ideal resource for researchers and practitioners in numerous fields, such as mathematics, statistics, operations research, engineering, medicine, and finance, as well as a useful text for graduate students.
IONUT FLORESCU, PhD, is Research Associate Professor of Financial Engineering and Director of the Hanlon Financial Systems Lab at Stevens Institute of Technology. He has published extensively in his areas of research interest, which include stochastic volatility, stochastic partial differential equations, Monte Carlo methods, and numerical methods for stochastic processes.
CIPRIAN A. TUDOR, PhD, is Professor of Mathematics at the University of Lille 1, France. His research interests include Brownian motion, limit theorems, statistical inference for stochastic processes, and financial mathematics. He has over eighty scientific publications in various internationally recognized journals on probability theory and statistics. He serves as a referee for over a dozen journals and has spoken at more than thirty-five conferences worldwide.
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