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Robustness of HEAF(2) for Estimating the Intensity of Long-Range Dependent Network Traffic

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Figure

Fig.  1.  Pictorial view of noisy samples (i.e. data with additive  outliers)
Fig.  2.  Top left figure - Data generated by FARIMA (0,d, 0) process  for H =0.6 (H measured by HEAF (2) = 0.585), N = 16384
Fig.  6.   Left figure - FARIMA (0,d,0) for H = 0.6 ( measured H by  HEAF(2) = 0.579), N = 8192

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