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Multivariate Characteristic and Correlation Functions: de Gruyter Studies in Mathematics, cartea 50

Autor Zoltán Sasvári
en Mixed media product – 21 mar 2013
Multivariate characteristic functions are the Fourier transforms of distributions of random vectors. They represent an important tool for the study of ifferent problems of probability theory, e.g. limit theorems, characterization problems, and description of special distributions, but they also appear as correlation functions of stationary random fields. This book provides an introduction to the theory of these functions which may be useful also for readers who want to learn about multivariate Fourier transforms. It presents some special topics and several classical and recent applications. Several appendices make the book a must have source.
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Specificații

ISBN-13: 9783111740447
ISBN-10: 3111740447
Ilustrații: Includes a print version and an ebook
Dimensiuni: 170 x 240 mm
Ediția:
Editura: De Gruyter
Seria de Gruyter Studies in Mathematics

Locul publicării:Berlin/Boston

Notă biografică

Zoltán Sasvári, Dresden University of Technology, Germany.