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dc.contributor.authorHaugen, Kjetil K.
dc.contributor.authorOwren, Brynjulf
dc.date.accessioned2020-01-15T13:13:34Z
dc.date.available2020-01-15T13:13:34Z
dc.date.created2018-07-03T13:16:15Z
dc.date.issued2018
dc.identifier.citationMathematics for applications. 2018, 7 (2), 127-137.nb_NO
dc.identifier.issn1805-3610
dc.identifier.urihttp://hdl.handle.net/11250/2636445
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.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Mathematics of Brno University of Technologynb_NO
dc.relation.urihttp://ma.fme.vutbr.cz/archiv/7_2/ma_7_2_haugen_owren_final.pdf
dc.subjectregression analysis, expected MAD, football table prediction, goal difference.nb_NO
dc.titlePredicting football tables by a maximally parsimonious modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber127-137nb_NO
dc.source.volume7nb_NO
dc.source.journalMathematics for applicationsnb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.13164/ma.2018.11
dc.identifier.cristin1595437
dc.description.localcodeIssued biannually on an open-accessnb_NO
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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