{"title":"PhFit: a general phase-type fitting tool","authors":"A. Horváth, M. Telek","doi":"10.1109/DSN.2002.1028966","DOIUrl":null,"url":null,"abstract":"PhFit, a new phase-type fitting tool is presented in this paper. PhFit 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. The tool is equipped with a graphical interface that visualizes the goodness of the provided approximation from several aspects.","PeriodicalId":93807,"journal":{"name":"Proceedings. International Conference on Dependable Systems and Networks","volume":"41 1","pages":"543-"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"188","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Dependable Systems and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSN.2002.1028966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 188
Abstract
PhFit, a new phase-type fitting tool is presented in this paper. PhFit 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. The tool is equipped with a graphical interface that visualizes the goodness of the provided approximation from several aspects.
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