dc.contributor.author | Zhang, Li-Chun | |
dc.contributor.author | Nordbotten, Svein | |
dc.date.accessioned | 2010-11-22T17:37:19Z | |
dc.date.available | 2010-11-22T17:37:19Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Proceedings from UN/ECE Workshop Session on Statistical Editing in Vienna, Austria, 21–23 April 2008 | en_US |
dc.identifier.uri | http://hdl.handle.net/11250/178263 | |
dc.description.abstract | The development of an Integrated System for Editing and Estimation (ISEE) is an important
part in Statistics Norway's strategic plans for improvement of statistical production processes
and more efficient use of available data sources. ISEE is organized in applications for different processing functions, and implemented in a service-oriented IT structure. Two of the applications
are DYNAREV (for editing and imputation) and STRUKTUR (for estimation of population
aggregates). With the two processes of editing and estimation being fully integrated in ISEE,
a producer of statistics is now in a much better position to implement the so-called top-down
approach to editing, because the effect on the estimates of the population totals due to any
changes made to the data can be examined instantly. In this paper we provide an overview of
the various tools for prediction and imputation in ISEE. Some of these are well in place whereas
others are still being developed. Our main focus is on the construction of a statistical register.
We propose and discuss a triple-goal criterion, and assess the alternative imputation methods in accordance, and finally outline a method that is potentially capable of satisfying these needs. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | UN. Economic Commission for Europe, Conference of European Statisticians | en_US |
dc.relation.uri | http://www.unece.org/stats/documents/2008/04/sde/wp.11.e.pdf | |
dc.subject | Estimation | en_US |
dc.subject | Integrated System for Editing and Estimation | en_US |
dc.subject | Svein Nordbotten | en_US |
dc.subject | Statistikkproduksjon | en_US |
dc.subject | Prediction Methods | en_US |
dc.subject | Estimering | en_US |
dc.subject | Administrative registre | |
dc.title | Prediction and imputation in ISEE: tools for more efficient use of combined data sources | en_US |
dc.type | Conference lecture | en_US |
dc.source.pagenumber | 9 s. | en_US |