Journal of Official Statistics, Vol.11, No.4, 1995. pp. 391–411
Editing Statistical Records by Neural Networks
Abstract:Editing records to ensure quality in statistical surveys is an expensive and time-consuming 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.
Keywords:Editing; imputation; neural networks; synthetic data generation.
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