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Article: Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles: Comments

TitleExponentially weighted methods for forecasting intraday time series with multiple seasonal cycles: Comments
Authors
Shen, Haipeng
Issue Date2010
Citation
International Journal of Forecasting, 2010, v. 26, n. 4, p. 652-654 How to Cite?
DOI: http://dx.doi.org/10.1016/j.ijforecast.2010.05.011
Persistent Identifierhttp://hdl.handle.net/10722/219635
ISSN
0169-2070
2021 Impact Factor: 7.022
2020 SCImago Journal Rankings: 1.268
ISI Accession Number ID
WOS:000282902600003

 

DC FieldValueLanguage
dc.contributor.authorShen, Haipeng-
dc.date.accessioned2015-09-23T02:57:35Z-
dc.date.available2015-09-23T02:57:35Z-
dc.date.issued2010-
dc.identifier.citationInternational Journal of Forecasting, 2010, v. 26, n. 4, p. 652-654-
dc.identifier.issn0169-2070-
dc.identifier.urihttp://hdl.handle.net/10722/219635-
dc.languageeng-
dc.relation.ispartofInternational Journal of Forecasting-
dc.titleExponentially weighted methods for forecasting intraday time series with multiple seasonal cycles: Comments-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijforecast.2010.05.011-
dc.identifier.scopuseid_2-s2.0-77956264380-
dc.identifier.volume26-
dc.identifier.issue4-
dc.identifier.spage652-
dc.identifier.epage654-
dc.identifier.isiWOS:000282902600003-
dc.identifier.issnl0169-2070-

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