dc.contributor.author | Chatterjee, Ayan | |
dc.contributor.author | Gerdes, Martin | |
dc.contributor.author | Martinez, Santiago | |
dc.date.accessioned | 2020-06-02T08:11:56Z | |
dc.date.available | 2020-06-02T08:11:56Z | |
dc.date.created | 2020-05-30T02:00:27Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Chatterjee, 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.issn | 1424-8220 | |
dc.identifier.uri | https://hdl.handle.net/11250/2656092 | |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2020 The Author(s) | en_US |
dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en_US |
dc.source.volume | 20 | en_US |
dc.source.journal | Sensors | en_US |
dc.source.issue | 11 | en_US |
dc.identifier.doi | 10.3390/s20113089 | |
dc.identifier.cristin | 1813297 | |
dc.source.articlenumber | 3089 | |
cristin.qualitycode | 1 | |