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dc.contributor.authorTschumitschew, Katharina
dc.contributor.authorKlawonn, Frank
dc.date.accessioned2018-01-11T09:02:15Z
dc.date.available2018-01-11T09:02:15Z
dc.date.issued2016-05-27
dc.identifier.citationEffects of drift and noise on the optimal sliding window size for data stream regression models 2016, 46 (10):5109 Communications in Statistics - Theory and Methodsen
dc.identifier.issn0361-0926
dc.identifier.issn1532-415X
dc.identifier.doi10.1080/03610926.2015.1096388
dc.identifier.urihttp://hdl.handle.net/10033/621230
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/03610926.2015.1096388en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleEffects of drift and noise on the optimal sliding window size for data stream regression models
dc.typeArticleen
dc.contributor.departmentHelmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124Braunschweig, Germany.en
dc.identifier.journalCommunications in Statistics - Theory and Methodsen
refterms.dateFOA2018-06-13T09:04:26Z


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