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dc.contributor.authorChatterjee, Ayan
dc.contributor.authorGerdes, Martin
dc.contributor.authorMartinez, Santiago
dc.date.accessioned2020-06-02T08:11:56Z
dc.date.available2020-06-02T08:11:56Z
dc.date.created2020-05-30T02:00:27Z
dc.date.issued2020
dc.identifier.citationChatterjee, A., Gerdes, M. & Martinez, S. (2020). Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death. Sensors, 20(11): 3089. doi:en_US
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/11250/2656092
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleStatistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Deathen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.volume20en_US
dc.source.journalSensorsen_US
dc.source.issue11en_US
dc.identifier.doi10.3390/s20113089
dc.identifier.cristin1813297
dc.source.articlenumber3089
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal