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dc.contributor.authorLenz, Hans-Joachimen_US
dc.contributor.authorGünther, Oliveren_US
dc.contributor.authorBoyens, Clausen_US
dc.date.accessioned2009-01-29T14:54:20Z-
dc.date.available2009-01-29T14:54:20Z-
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/10419/22201-
dc.description.abstractMost data collected in statistics and science is still stored in simple flat files, usually data matrices with rows identified by a case identifier (case_id), columns corresponding to attributes (variables), and numerical data types for the elements of each matrix due to coding of all attributes involved. Each row (tuple) carries the (coded) values of the attributes, besides the case_id. Due to a suitable encoding that maps a natural domain to numerical ones, all matrix entries have a numeric data type. The scales of the attributes may of course be quite different.en_US
dc.language.isoengen_US
dc.publisheren_US
dc.relation.ispartofseriesPapers / Humboldt-Universität Berlin, Center for Applied Statistics and Economics (CASE) 2004,28en_US
dc.subject.ddc330en_US
dc.titleStatistical Databasesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn49530834Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:caseps:200428-
Appears in Collections:Papers, CASE - Center for Applied Statistics and Economics, HU Berlin

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