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Preferred term

self-similar process  

Definition

  • Self-similar processes are types of stochastic processes that exhibit the phenomenon of self-similarity. A self-similar phenomenon behaves the same when viewed at different degrees of magnification, or different scales on a dimension (space or time). Self-similar processes can sometimes be described using heavy-tailed distributions, also known as long-tailed distributions. Examples of such processes include traffic processes, such as packet inter-arrival times and burst lengths. Self-similar processes can exhibit long-range dependency. (Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Self-similar_process)

Broader concept

Entry terms

  • selfsimilar process

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URI

http://data.loterre.fr/ark:/67375/MDL-Z0D6LT73-D

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