A Novel Approach for Fitting Probability Distributions to Real Trace Data with the EM Algorithm
- 27 July 2005
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 712-721
- https://doi.org/10.1109/dsn.2005.11
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- An EM-based technique for approximating long-tailed data sets with PH distributionsPerformance Evaluation, 2004
- Fitting world-wide web request traces with the EM-algorithmPerformance Evaluation, 2003
- Acyclic discrete phase type distributions: properties and a parameter estimation algorithmPerformance Evaluation, 2003
- An EM-Algorithm for MAP Fitting from Real Traffic DataPublished by Springer Nature ,2003
- PhFit: A General Phase-Type Fitting ToolPublished by Springer Nature ,2002
- Hyper-Erlang Distribution Model and its Application in Wireless Mobile NetworksWireless Networks, 2001
- Fitting mixtures of exponentials to long-tail distributions to analyze network performance modelsPerformance Evaluation, 1998
- A benchmark for ph estimation algorithms: results for acyclic-phCommunications in Statistics. Stochastic Models, 1994
- Meda: mixed erlang distributions as phase-type representations of empirical distribution functions.Communications in Statistics. Stochastic Models, 1992
- On the canonical representation of homogeneous markov processes modelling failure - time distributionsMicroelectronics Reliability, 1982