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Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling Series) - Hardcover
Synopsis
This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.
"synopsis" may belong to another edition of this title.
Review
There has been a pressing need for a book on this subject...The authors have succeeded in filling the gap...I am very glad a standard reference about stable processes now exists.
- Bulletin of the London Mathematical Society
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date1994
- ISBN 10 0412051710
- ISBN 13 9780412051715
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages654
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