ICPE 2011 Tutorial


Natalia M. Markovich, Udo R. Krieger:
Analyzing Measurements from Data with Underlying Dependences
and Heavy-tailed Distributions


We consider measurements that are arising from a next generation network
and present advanced mathematical techniques to cope with the analysis and modeling
of the gathered data. These statistical techniques are required to study important
performance indices of new real-time services in a multimedia Internet such as the demanded
bandwidth or delay-loss profiles of packet flows during a session.
The latter data sets incorporate strongly correlated or long-range dependent time series
and heavy-tailed marginal distributions determining the underlying
random variables of the data features.
To illustrate the proposed statistical analysis concept, we use traces arising from some
popular Internet applications.


Slides of the Tutorial

References of the tutorial