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Evaluation of dimension of fractal time series with the least square method 被引量:2
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作者 BingQiang Qiao SiMing Liu +2 位作者 houdun zeng Xiang Li BenZhong Dai 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS CSCD 2017年第4期62-64,共3页
Properties of fractional Brownian motions(f Bms)have been investigated by researchers in different fields,e.g.statistics,hydrology,biology,finance,and public transportation,which has helped us better understand many c... Properties of fractional Brownian motions(f Bms)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 展开更多
关键词 TIME Evaluation of dimension of fractal time series with the least square method FIGURE
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