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Stable Non-Gaussian Random Processes
Language: en
Pages: 662
Authors: Gennady Samoradnitsky
Categories: Mathematics
Type: BOOK - Published: 2017-11-22 - Publisher: Routledge

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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 p
Stable Non-Gaussian Self-Similar Processes with Stationary Increments
Language: en
Pages: 143
Authors: Vladas Pipiras
Categories: Mathematics
Type: BOOK - Published: 2017-08-31 - Publisher: Springer

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This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors
Random Processes by Example
Language: en
Pages: 232
Authors: Mikhail Lifshits
Categories: Mathematics
Type: BOOK - Published: 2014 - Publisher: World Scientific

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This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox include
Techniques for Treating Non-Gaussian Random Processes
Language: en
Pages: 138
Authors: Robert Jay Hermann
Categories: Electric filters
Type: BOOK - Published: 1963 - Publisher:

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Applied Non-Gaussian Processes
Language: en
Pages: 472
Authors: Mircea Grigoriu
Categories: Computers
Type: BOOK - Published: 1995 - Publisher: Prentice Hall

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This text defines a variety of non-Gaussian processes, develops methods for generating realizations of non-Gaussian models, and provides methods for finding pro