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hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorBenhamou, Eric
hal.structure.identifierEcole Normale Supérieure
dc.contributor.authorMelot, Valentin
dc.date.accessioned2019-05-15T10:38:13Z
dc.date.available2019-05-15T10:38:13Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/18909
dc.language.isoenen
dc.subjectcausalityen
dc.subjectPearson correlation coefficienten
dc.subjectgraphical heat mapen
dc.subject.ddc511en
dc.titleSeven proofs of the Pearson Chi-squared independence test and its graphical interpretationen
dc.typeDocument de travail / Working paper
dc.description.abstractenThis paper revisits the Pearson Chi-squared independence test. After presentingthe underlying theory with modern notations and showing new way of deriving theproof, we describe an innovative and intuitive graphical presentation of this test. Thisenables not only interpreting visually the test but also measuring how close or far weare from accepting or rejecting the null hypothesis of non independence.en
dc.publisher.namePreprint Lamsadeen
dc.publisher.cityParisen
dc.identifier.citationpages22en
dc.relation.ispartofseriestitlePreprint Lamsadeen
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-02012452en
dc.subject.ddclabelPrincipes généraux des mathématiquesen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.date.updated2019-04-30T12:04:36Z
hal.author.functionaut
hal.author.functionaut


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