Editing and imputation by means of neural networks

Abstract

Editing and imputation of statistical data are possible because we take advantage of some prior knowledge about the type of statistical objects we investigate. The processes of editing and imputation are considered expensive parts of survey and census costs. This presentation discusses the use of neural network methodology to improve the efficiency of these processes. Two applications are discussed as demonstrations of the approach.