Add to ORKGAbstractThis paper points out that there exists a unique optimal approximation of autocorrelation function of an asymptotically second-order self-similar process. A simple type of autocorrelation functions is used to explain the method of optimal solution and verify the long-range dependence of traffic in the view of optimal approximation. KeywordsModeling, long-range dependence 1
We explain the connection between autocorrelation functions of stationary continuous time processes ...
The detection of long-range dependence in time series analysis is an important task to which this pa...
The detection of long-range dependence in time series analysis is an important task to which this pa...
For over a decade researchers have been reporting the impact of self-similar long-range dependent ne...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
In this dissertation we present a means to study queueing systems which exhibit self-similarity and ...
A simple rst-order recurrence in a (max, +) dynamic system is numerically investigated and shown to ...
Abstract: Traffic streams, sources as well as aggregated traffic flows, of-ten exhibit long-range-de...
We consider statistical inference in the presence of serial dependence. The main focus is on use of ...
Recent papers have pointed out that data traffic exhibits self-similarity, but self-similarity is ob...
The paper discusses various models of self-similar Internet traffic and techniques for estimating th...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...
Traffic streams, sources as well as aggregated traffic flows, often exhibit long-range-dependent (LR...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...
We explain the connection between autocorrelation functions of stationary continuous time processes ...
The detection of long-range dependence in time series analysis is an important task to which this pa...
The detection of long-range dependence in time series analysis is an important task to which this pa...
For over a decade researchers have been reporting the impact of self-similar long-range dependent ne...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
In this dissertation we present a means to study queueing systems which exhibit self-similarity and ...
A simple rst-order recurrence in a (max, +) dynamic system is numerically investigated and shown to ...
Abstract: Traffic streams, sources as well as aggregated traffic flows, of-ten exhibit long-range-de...
We consider statistical inference in the presence of serial dependence. The main focus is on use of ...
Recent papers have pointed out that data traffic exhibits self-similarity, but self-similarity is ob...
The paper discusses various models of self-similar Internet traffic and techniques for estimating th...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...
Traffic streams, sources as well as aggregated traffic flows, often exhibit long-range-dependent (LR...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...
We explain the connection between autocorrelation functions of stationary continuous time processes ...
The detection of long-range dependence in time series analysis is an important task to which this pa...
The detection of long-range dependence in time series analysis is an important task to which this pa...