On estimating the intensity of long-range dependence in finite and infinite variance time series
A practical guide to heavy tails
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
The estimation of stable distribution parameters from teletrafficdata
IEEE Transactions on Signal Processing
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We use three parameters as a measure of long-range dependence (LRD) and we are interested in estimating the three LRD parameters for LFSN processes. The estimation work is implemented by sample autocorrelation function (ACF) method proposed in this paper. We present a summary of this estimation technique and a study of how the estimator can be applied to real data since the sample ACF estimator is only for symmetric processes and real data is almost non-symmetric.