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Handbook of Probability: Wiley Handbooks in Applied Statistics

Autor I Florescu
en Limba Engleză Hardback – 19 dec 2013
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: * Probability Space * Probability Measure * Random Variables * Random Vectors in R^n * Characteristic Function * Moment Generating Function * Gaussian Random Vectors * Convergence Types * Limit Theorems 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.
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Specificații

ISBN-13: 9780470647271
ISBN-10: 0470647272
Pagini: 472
Dimensiuni: 163 x 235 x 29 mm
Greutate: 0.77 kg
Editura: Wiley
Seria Wiley Handbooks in Applied Statistics

Locul publicării:Hoboken, United States

Public țintă

As a resource book for graduate students, researchers and practitioners in all the sciences, most notably mathematics, statistics, operations research, engineering, medicine, and finance; as a reference book in all libraries (academic, public, and corporate)

Cuprins


Notă biografică

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.

Descriere

This 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.