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Stable Non-Gaussian Random Processes

Download or Read eBook Stable Non-Gaussian Random Processes PDF written by Gennady Samoradnitsky and published by Routledge. This book was released on 2017-11-22 with total page 662 pages. Available in PDF, EPUB and Kindle.
Stable Non-Gaussian Random Processes
Author :
Publisher : Routledge
Total Pages : 662
Release :
ISBN-10 : 9781351414791
ISBN-13 : 1351414798
Rating : 4/5 (91 Downloads)

Book Synopsis Stable Non-Gaussian Random Processes by : Gennady Samoradnitsky

Book excerpt: This book serves as a standard reference, making this area accessible not only to researchers in probability and statistics, but also to graduate students and practitioners. The book assumes only a first-year graduate course in probability. Each chapter begins with a brief overview and concludes with a wide range of exercises at varying levels of difficulty. The authors supply detailed hints for the more challenging problems, and cover many advances made in recent years.


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