Various methods for estimating the self-similarity parameter and/or th
e intensity of long-range dependence in a time series are available. S
ome are more reliable than others. To discover the ones that work best
, we apply the different methods to simulated sequences of fractional
Gaussian noise and fractional ARIMA (0, d, 0). We also provide here a
theoretical justification for the method of residuals of regression.