New Methods of Editing and Imputation
نویسنده
چکیده
Editing of data collected for preparation of statistics is a time and resource consuming process. This paper presents experiments with artificial neural networks as a potential tool for increasing the effectiveness of statistical editing and imputation. To maintain accuracy in resulting statistics, the possibility of deriving reliable accuracy predictions is also discussed.
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