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SLICE: generalised software for statistical data editing and imputation

Authors: Ton de Waal;

SLICE: generalised software for statistical data editing and imputation

Abstract

Statistical offices have to face the problem that data collected by surveys or obtained from administrative registers generally contain errors. Another problem they have to face is that values in data sets obtained from these sources may be missing. To handle such errors and missing data efficiently, Statistics Netherlands is currently developing a software package, called SLICE (Statistical Localisation, Imputation and Correction of Errors). SLICE will contain several edit and imputation modules. Examples are a module for automatic editing and a module for imputation based on tree-models. In this paper I describe SLICE, hereby focussing on the above-mentioned modules.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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