dc.contributor.author | Haugen, Kjetil K. | |
dc.contributor.author | Owren, Brynjulf | |
dc.date.accessioned | 2020-01-15T13:13:34Z | |
dc.date.available | 2020-01-15T13:13:34Z | |
dc.date.created | 2018-07-03T13:16:15Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Mathematics for applications. 2018, 7 (2), 127-137. | nb_NO |
dc.identifier.issn | 1805-3610 | |
dc.identifier.uri | http://hdl.handle.net/11250/2636445 | |
dc.description.abstract | This paper presents some useful mathematical results concerned with football table prediction. In addition, some empirical results indicate that an alternative methodology for football table prediction may produce high quality forecasts with far less resource usage than conventional methods. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Mathematics of Brno University of Technology | nb_NO |
dc.relation.uri | http://ma.fme.vutbr.cz/archiv/7_2/ma_7_2_haugen_owren_final.pdf | |
dc.subject | regression analysis, expected MAD, football table prediction, goal difference. | nb_NO |
dc.title | Predicting football tables by a maximally parsimonious model | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 127-137 | nb_NO |
dc.source.volume | 7 | nb_NO |
dc.source.journal | Mathematics for applications | nb_NO |
dc.source.issue | 2 | nb_NO |
dc.identifier.doi | 10.13164/ma.2018.11 | |
dc.identifier.cristin | 1595437 | |
dc.description.localcode | Issued biannually on an open-access | nb_NO |
cristin.unitcode | 194,63,15,0 | |
cristin.unitname | Institutt for matematiske fag | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |