The DACSEIS Project

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dc.contributor.author Münnich, Ralf de_DE
dc.contributor.author Wiegert, Rolf de_DE
dc.contributor.other Münnich, Ralf (Co-ordinator) de_DE
dc.date.accessioned 2001-12-19 de_DE
dc.date.accessioned 2014-03-18T10:01:34Z
dc.date.available 2001-12-19 de_DE
dc.date.available 2014-03-18T10:01:34Z
dc.date.issued 2001 de_DE
dc.identifier.other 099631571 de_DE
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-4282 de_DE
dc.identifier.uri http://hdl.handle.net/10900/47231
dc.description.abstract Data quality has become increasingly important in social and economic statistics, especially when data are gained from various sources obtained using different methods. In many cases, measuring data quality is strongly connected to variance estimation as one error source. The DACSEIS project investigates variance estimation methods for complex surveys in the context of an applicable and comparable quality measurement of European household surveys. The aim of the project is to deliver recommendations of how to measure data quality in complex surveys that take various aspects of error sources into consideration and allow the handling of different components of the measures. This will include a complex Monte Carlo simulation study in a practical environment, e.g. in synthetic, but realistic, universes that are close to selected European household surveys, to test the wide range of theoretical methodology in practice. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-nopod de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_ubt-nopod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_ubt-nopod.php?la=en en
dc.subject.classification Stichprobenfehler de_DE
dc.subject.ddc 330 de_DE
dc.subject.other Data Quality , variance estimation , complex surveys , nonresponse , imputation , Monte Carlo simulation en
dc.title The DACSEIS Project en
dc.type ResearchPaper de_DE
dc.date.updated 2003-11-20 de_DE
utue.publikation.fachbereich Wirtschaftswissenschaften de_DE
utue.publikation.fakultaet 6 Wirtschafts- und Sozialwissenschaftliche Fakultät de_DE
dcterms.DCMIType Text de_DE
utue.publikation.typ workingPaper de_DE
utue.opus.id 428 de_DE
utue.opus.portal dacseis de_DE
utue.opus.portalzaehlung 0.00000 de_DE

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Aufrufstatistik

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