Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance - Stochastic Modeling Series - Samoradnitsky, Gennady (Cornell University, New York, USA) - Books - Taylor & Francis Ltd - 9780412051715 - June 1, 1994
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Samoradnitsky, Gennady (Cornell University, New York, USA)
Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance - Stochastic Modeling Series 1st edition

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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.

632 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
Released June 1, 1994
ISBN13 9780412051715
Publishers Taylor & Francis Ltd
Pages 654
Dimensions 164 × 245 × 45 mm   ·   1.07 kg
Language English  
Series Editor Shaked, Moshe

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