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.
Author | : Gennady Samoradnitsky |
Publisher | : Routledge |
Total Pages | : 662 |
Release | : 2017-11-22 |
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.