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dc.contributor.authorHaugen, Kjetil K.
dc.contributor.authorOwren, Brynjulf
dc.date.accessioned2022-10-31T12:42:42Z
dc.date.available2022-10-31T12:42:42Z
dc.date.created2018-07-03T13:16:15Z
dc.date.issued2018
dc.identifier.citationMathematics for applications. 2018, 7 (2), 127-137.en_US
dc.identifier.issn1805-3610
dc.identifier.urihttps://hdl.handle.net/11250/3029134
dc.description.abstractThis 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.en_US
dc.language.isoengen_US
dc.relation.urihttp://ma.fme.vutbr.cz/archiv/7_2/ma_7_2_haugen_owren_final.pdf
dc.titlePredicting football tables by a maximally parsimonious modelen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber127-137en_US
dc.source.volume7en_US
dc.source.journalMathematics for applicationsen_US
dc.source.issue2en_US
dc.identifier.doi10.13164/ma.2018.11
dc.identifier.cristin1595437
cristin.unitcode211,5,0,0
cristin.unitnameAvdeling for økonomi og samfunnsvitenskap
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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