Title :
The estimation of stable distribution parameters from teletraffic data
Author :
Bates, Stephen ; Mclaughlin, Steve
Author_Institution :
Massana Ltd, Dublin, Ireland
fDate :
3/1/2000 12:00:00 AM
Abstract :
This article is concerned with the estimation of the parameters that describe a stable distribution from teletraffic data. Stable distributions are characterized by four parameters that can be estimated using a number of methods. This article provides an introduction to the stable distribution and a summary of some of the estimation techniques developed for them. It presents a comprehensive performance comparison between four techniques and a study of how these techniques can be applied to real data. The data under consideration is that expected on broadband digital networks
Keywords :
Gaussian distribution; broadband networks; digital communication; parameter estimation; signal processing; stability; statistical analysis; telecommunication traffic; Gaussian distribution; broadband digital networks; performance comparison; stable distribution parameters estimation; statistical signal processing; teletraffic data; Books; Character generation; Collision mitigation; Parameter estimation; Probability distribution; Random variables; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on