Add to ORKGA wavelet-based tool is reported for the analysis of Long-Range Dependence (LRD) traffic to allow for semiparametric estimation of the Hurst (H) parameter. Validation has been also done, by using fBm and fGn models, and the obtained estimations show excellent agreements with the theoretical results
We consider the problem of estimating the Hurst parameter for long-range dependent processes using w...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Two wavelet based estimators are considered in this paper for the two parameters that characterize l...
A wavelet-based tool is reported for the analysis of Long-Range Dependence (LRD) traffic to allow fo...
Study of long-range dependence (LRD) properties in real traffic has received an increasing attention...
Abstract—A wavelet-based tool for the analysis of long-range dependence and a related semi-parametri...
Correct and efficient estimation of the Hurst parameter H of long-range dependent (LRD) traffic is i...
An on-line version of the Abry-Veitch wavelet based estimator of the Hurst parameter is presented. I...
Abstract — Correct and efficient estimation of the Hurst pa-rameter of long-range dependent (LRD) vi...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...
Long-range-dependent time series are endemic in the statistical analysis of Internet traffic. The Hu...
Measurements of data traffic in telecommunication networks show that the packet arrival process exhi...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
Long-range dependence (LRD) is discovered in time series arising from different fields, especially i...
Internet traffic exhibits self-similarity and long-range dependence (LRD). Accurate estimation of st...
We consider the problem of estimating the Hurst parameter for long-range dependent processes using w...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Two wavelet based estimators are considered in this paper for the two parameters that characterize l...
A wavelet-based tool is reported for the analysis of Long-Range Dependence (LRD) traffic to allow fo...
Study of long-range dependence (LRD) properties in real traffic has received an increasing attention...
Abstract—A wavelet-based tool for the analysis of long-range dependence and a related semi-parametri...
Correct and efficient estimation of the Hurst parameter H of long-range dependent (LRD) traffic is i...
An on-line version of the Abry-Veitch wavelet based estimator of the Hurst parameter is presented. I...
Abstract — Correct and efficient estimation of the Hurst pa-rameter of long-range dependent (LRD) vi...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...
Long-range-dependent time series are endemic in the statistical analysis of Internet traffic. The Hu...
Measurements of data traffic in telecommunication networks show that the packet arrival process exhi...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
Long-range dependence (LRD) is discovered in time series arising from different fields, especially i...
Internet traffic exhibits self-similarity and long-range dependence (LRD). Accurate estimation of st...
We consider the problem of estimating the Hurst parameter for long-range dependent processes using w...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Two wavelet based estimators are considered in this paper for the two parameters that characterize l...