Bivariate statistical analysis of TCP-flow sizes and durations
From MaRDI portal
Publication:839874
DOI10.1007/s10479-009-0531-6zbMath1169.90324OpenAlexW2041073151MaRDI QIDQ839874
Jorma Kilpi, Natalia M. Markovich
Publication date: 3 September 2009
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-009-0531-6
Related Items (3)
Modeling clusters of extreme values ⋮ A Long-Range Dependent Model for Network Traffic with Flow-Scale Correlations ⋮ Exploring the financial risk of a temperature index: a fractional integrated approach
Uses Software
Cites Work
- Limit theory for moving averages of random variables with regularly varying tail probabilities
- On smoothed probability density estimation for stationary processes
- Time series: theory and methods.
- Heavy tail modeling and teletraffic data. (With discussions and rejoinder)
- Distribution and dependence-function estimation for bivariate extreme-value distributions.
- On bandwidth choice for density estimation with dependent data
- More on \(p\)-stable convex sets in Banach spaces
- A nonparametric estimation procedure for bivariate extreme value copulas
- Extremes and local dependence in stationary sequences
- Statistics of Extremes
- Heavy-Tail Phenomena
- Data network models of burstiness
- An introduction to statistical modeling of extreme values
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Bivariate statistical analysis of TCP-flow sizes and durations
