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Published in:
The Phenomenon of Statistical Stability and Its Properties Read chapter Read first chapter

2017 | OriginalPaper | Chapter

8. Statistical Stability of Different Types of Noise and Process

Author : Igor I. Gorban

Published in: The Statistical Stability Phenomenon

Publisher: Springer International Publishing

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Abstract

Different types of noise are studied, in particular, the color noises, flicker noise, and self-similar (fractal) noise. The results of studies of statistical stability of various noises and processes are generalized and the causes of statistical stability violation are investigated. It is found that statistically unstable processes can arise in different ways: because of inflows from the outside in an open system of matter, energy, and (or) information, as a result of nonlinear and even linear transformations, and due to wave damping.

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previous chapter Experimental Studies of the Statistical Stability of Radiation from Astrophysical Objects
next chapter Hyper-random Events and Variables
Literature
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Metadata
Title
Statistical Stability of Different Types of Noise and Process
Author
Igor I. Gorban
Copyright Year
2017
Book
The Statistical Stability Phenomenon

Print ISBN: 978-3-319-43584-8

Electronic ISBN: 978-3-319-43585-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-43585-5_8

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