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Evaluation of dimension of fractal time series with the least square method
Properties of fractional Brownian motions (fBms) have been investigated by researchers in different fields, e.g. statistics, hydrology, biology, finance, and public transportation, which has helped us better understand many complex time series observed in nature [1-4]. The Hurst exponent H (0 〈 H 〈...
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Published in: | Science China. Physics, mechanics & astronomy mechanics & astronomy, 2017-04, Vol.60 (4), p.62-64, Article 040521 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Properties of fractional Brownian motions (fBms) have been investigated by researchers in different fields, e.g. statistics, hydrology, biology, finance, and public transportation, which has helped us better understand many complex time series observed in nature [1-4]. The Hurst exponent H (0 〈 H 〈 1) is the most important parameter characterizing any given time series F(t), where t represents the time steps, and the fractal dimension D is determined via the relation D = 2 - H. |
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ISSN: | 1674-7348 1869-1927 |
DOI: | 10.1007/s11433-016-9002-8 |