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dc.contributor.authorJohn, Irwin R.en_US
dc.contributor.authorHautus, Michael J.en_US
dc.date.accessioned2016-07-18T06:49:11Z
dc.date.available2016-07-18T06:49:11Z
dc.date.issued2015en_US
dc.identifier.otherHPU4160450en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22294en_US
dc.description.abstractThe Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution. By contrast, the receiver operating characteristic (ROC) curve for evaluating diagnostic systems depicts the relation between the complements of two CDFs, one for the distribution noise and the other for the distribution of signal plus noise.en_US
dc.format.extent7 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectMathematicsen_US
dc.subjectBiomathematicsen_US
dc.subjectLorenz curveen_US
dc.subjectROC curveen_US
dc.subjectLognormalen_US
dc.titleLognormal Lorenz and normal receiver operating characteristic curves as mirror imagesen_US
dc.typeArticleen_US
dc.size389KBen_US
dc.departmentEducationen_US


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