Combination of Evidence from Multiple Administrative Data Sources

Christopher Berka, Stefan Humer, Mathias Moser, Manuela Lenk, Henrik Rechta, Eliane Schwerer

Publication: Scientific journalJournal articlepeer-review

Abstract

This article investigates the quality of register data in the context of a standardized quality framework. The special focus of this work lies on the assessment of census data and how to deal with uncertainty that arises from multiple sources (registers). To take the uncertainty associated with support and conflict between several registers into account, Dempster Shafer's theory of evidence is applied. This "fuzzy" approach allows us to investigate the quality of databases with multiple underlying sources for a single attribute and to provide both quality measures and plausibility intervals.
Original languageEnglish
Pages (from-to)18 - 33
JournalStatistica Neerlandica
Volume66
Issue number1
DOIs
Publication statusPublished - 2012

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502032 Quality management
  • 101018 Statistics

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