Editing statistical records by neural networks
Journal article, Peer reviewed
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- Utvalgte forfattere 
Original versionJournal of Official Statistics, Vol. 11, No. 4 (1995), pp.391-411
Editing records to ensure quality in statistical surveys is an expensive and timeconsuming process. Since the introduction of computers in statistical processing, development and use of automated editing have been important objectives. In this article, editing is reformulated as a neural network problem. The use of such a network is demonstrated and a preliminary evaluation is presented.
Gjengitt med tillatelse av Statistics Sweden og forfatteren.