Recommended Practices for Editing and Imputation for Cross-Sectional Business Surveys

atmire.OrgUnit11654/62
atmire.item.typeProject
dc.accessRightsAnonymous
dc.date.accessioned2019-11-14T09:22:51Z
dc.date.available2019-11-14T09:22:51Z
dc.description.abstractThe EDIMBUS project developed a manual for editing and imputation in cross-sectional business surveys. Survey data always contains erroneous and missing data. Editing and imputation cover the phases which deal with erroneous and missing data and thus are crucial for the quality of the data provided by Eurostat and the National Statistical Institutes of the European Statistical System. Eurostat entrusted the project partners to developed a guide for the design, the implementation, the testing and the documentation of editing and imputation strategies. The manual should present the best current methods for statistical data preparation. More importantly, it should give advise to survey managers how to approach the difficult task of developing a system for statistical data preparation which takes into account the relation between different phases of statistical data preparation, the resources needed and the effect on outcomes.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/29212
dc.subject.ddc650 - Management
dc.subject.ddc380 - Handel, Kommunikation, Verkehr
dc.titleRecommended Practices for Editing and Imputation for Cross-Sectional Business Surveys
dc.type00 - Projekt
dspace.entity.typeProject
fhnw.Project.ContactHulliger, Beat
fhnw.Project.End2008-03-27
fhnw.Project.ManagerHulliger, Beat
fhnw.Project.PartnersBundesamt für Statistik BFSen_US
fhnw.Project.Start2007-02-20
fhnw.Project.Stateabgeschlossen
fhnw.Project.Typeangewandte Forschung
fhnw.Project.reseaw396-0004
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitute for Competitiveness and Communicationde_CH
fhnw.project.id1171
fhnw.sap.referencew396-0004
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