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dc.contributor.authorMarron, J. S.
dc.contributor.editorKronberg, Daniel
dc.contributor.editorCederbaum, Carla
dc.date.accessioned2015-12-01T11:44:48Z
dc.date.available2015-12-01T11:44:48Z
dc.date.issued2015
dc.identifier.urihttp://publications.mfo.de/handle/mfo/439
dc.description.abstractStatistical visualization uses graphical methods to gain insights from data. Here we show how a technique called principal component analysis is used to analyze mortality in Spain over about the last hundred years. This data decomposition both reflects expected historical events and reveals some perhaps less expected trends in mortality over the years.en_US
dc.description.abstract[Also available in German]
dc.language.isoen_USen_US
dc.publisherMathematisches Forschungsinstitut Oberwolfachen_US
dc.relation.ispartofseriesSnapshots of modern mathematics from Oberwolfach; 12/2015
dc.relation.hasversion10.14760/SNAP-2015-012-DE
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.titleVisual analysis of Spanish male mortalityen_US
dc.typeArticleen_US
dc.identifier.doi10.14760/SNAP-2015-012-EN
local.series.idSNAP-2015-012-EN
local.subject.snapshotNumerics and Scientific Computing
local.subject.snapshotProbability Theory and Statistics
dc.identifier.urnurn:nbn:de:101:1-201512081010
dc.identifier.ppn1658115511


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