PhFit: A general phase-type fitting tool

András Horváth, Miklós Telek

Research output: Conference contribution

93 Citations (Scopus)

Abstract

PhFit, a newPhase-type fitting tool is presented in this paper. The presented tool is novel from several aspects. It allows for approximating distributions or set of samples not only by continuous but by discrete Phase-type distributions as well. The implemented algorithms separate the fitting of the body and the tail part of the distribution which results in satisfactory fitting also for heavy-tail distributions. Moreover, PhFit allows the user to choose the distance measure according to which the fitting is performed.

Original languageEnglish
Title of host publicationComputer Performance Evaluation
Subtitle of host publicationModelling Techniques and Tools - 12th International Conference, TOOLS 2002, Proceedings
EditorsTony Field, Peter G. Harrison, Jeremy Bradley, Uli Harder
PublisherSpringer Verlag
Pages82-91
Number of pages10
ISBN (Print)3540435395, 9783540435396
DOIs
Publication statusPublished - 2002
Event12th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools, TOOLS 2002 - London, United Kingdom
Duration: ápr. 14 2002ápr. 17 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2324 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools, TOOLS 2002
CountryUnited Kingdom
CityLondon
Period4/14/024/17/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'PhFit: A general phase-type fitting tool'. Together they form a unique fingerprint.

  • Cite this

    Horváth, A., & Telek, M. (2002). PhFit: A general phase-type fitting tool. In T. Field, P. G. Harrison, J. Bradley, & U. Harder (Eds.), Computer Performance Evaluation: Modelling Techniques and Tools - 12th International Conference, TOOLS 2002, Proceedings (pp. 82-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2324 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-46029-2_5