An Efficient Algorithm for the Kolmogorov-Smirnov and Lilliefors Tests
ACM Transactions on Mathematical Software (TOMS)
Just Java
Simulation Modeling and Analysis
Simulation Modeling and Analysis
SMART: Stochastic Model-checking Analyzer for Reliability and Timing
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Fitting world-wide web request traces with the EM-algorithm
Performance Evaluation - Special issue: Internet performance and control of network systems
Generating random variates from a distribution of phase type
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 2
Acyclic discrete phase type distributions: properties and a parameter estimation algorithm
Performance Evaluation
An EM-based technique for approximating long-tailed data sets with PH distributions
Performance Evaluation - Internet performance symposium (IPS 2002)
A Novel Approach for Fitting Probability Distributions to Real Trace Data with the EM Algorithm
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Cluster-based fitting of phase-type distributions to empirical data
Computers & Mathematics with Applications
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Phase-Type distributions are a powerful tool in stochastic modeling of real systems. In this paper, we describe an object-oriented tool used to represent and manipulate these distributions as computational objects. It allows the computation of multiple closure properties that can be used when modeling large systems with multiple interactions. The tool also includes procedures for fitting the parameter of a distribution from a data set and capabilities for generating random numbers from a specified distribution. This framework is built in a flexible and expandable way, and, therefore, it is not limited to the algorithms provided.