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dc.contributor.authorMalugin, V. I.-
dc.contributor.authorHryn, N. V.-
dc.date.accessioned2014-04-22T10:23:08Z-
dc.date.available2014-04-22T10:23:08Z-
dc.date.issued2010-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/94575-
dc.description.abstractThe paper is devoted to the problem of analysis and forecasting of the solvency of banks borrowers on the base of econometric models, which takes into account the in°uence of the exogenous economic factors on the balance coe±cients of borrowers. The credit score algorithms based on multivariate linear regression model and the "plug-in" decision rule for classiЇcation of the sample from the mixture of the multivariate regression observations distributions are suggested and examined.ru
dc.language.isoenru
dc.publisherMinsk: BSUru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.titleOn the using of econometric models in the credit scoring systemsru
dc.typeArticleru
Appears in Collections:Статьи факультета прикладной математики и информатики
Section 6. ECONOMETRIC ANALYSIS AND MODELING

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