Reinecke, Philipp ![]() |
Abstract
In this paper we provide a hands-on discussion of the use of the HyperStar phase-type fitting tool in common application scenarios. HyperStar allows fitting Hyper-Erlang distributions to empirical data, using a variety of algorithms and operation modes. We describe simple cluster-based fitting, a new graphical method for refining the density approximation, a new command-line interface, and the integration of HyperStar with a Mathematica implementation of a fitting algorithm. Furthermore, we describe the use of Hyper-Erlang distributions in simulation. Throughout our discussion we illustrate the concepts on a data set which has been shown to be difficult to fit with a PH distribution.
Item Type: | Article |
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Status: | Published |
Schools: | Computer Science & Informatics |
ISSN: | 1611-3349 |
Last Modified: | 26 Oct 2022 07:14 |
URI: | https://orca.cardiff.ac.uk/id/eprint/124330 |
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