2.50
Hdl Handle:
http://hdl.handle.net/10033/621230
Title:
Effects of drift and noise on the optimal sliding window size for data stream regression models
Authors:
Tschumitschew, Katharina; Klawonn, Frank
Affiliation:
Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124Braunschweig, Germany.
Citation:
Effects of drift and noise on the optimal sliding window size for data stream regression models 2016, 46 (10):5109 Communications in Statistics - Theory and Methods
Journal:
Communications in Statistics - Theory and Methods
Issue Date:
27-May-2016
URI:
http://hdl.handle.net/10033/621230
DOI:
10.1080/03610926.2015.1096388
Additional Links:
https://www.tandfonline.com/doi/full/10.1080/03610926.2015.1096388
Type:
Article
ISSN:
0361-0926; 1532-415X
Appears in Collections:
publications of the research group cellular proteom research (CPRO)

Full metadata record

DC FieldValue Language
dc.contributor.authorTschumitschew, Katharinaen
dc.contributor.authorKlawonn, Franken
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
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