Preservation of long range temporal correlations under extreme random dilution

@inproceedings{Mirzayof2010PreservationOL,
  title={Preservation of long range temporal correlations under extreme random dilution},
  author={Dror Mirzayof and Yosef Ashkenazy},
  year={2010}
}
Many natural time series exhibit long range temporal correlations that may be characterized by power-law scaling exponents. However, inmany cases, the time series have uneven time intervals due to, for example, missing data points, noisy data, and outliers. Here we study the effect of randomly missing data points on the power-law scaling exponents of time series that are long range temporally correlated. The Fourier transform and detrended fluctuation analysis (DFA) techniques are used for… CONTINUE READING
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