Editing and imputation by means of neural networks

Article type: Research Article

Authors: Nordbotten, Svein^{; 1}

Affiliations: University of Bergen, N-5020 Bergen, Norway

Note: [1] Paper first presented at Data Editing Workshop and Exposition, Washington, D.C., 22 March 1996.

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.

Keywords: Data editing, data imputation, neural networks

DOI: 10.3233/SJU-1996-13202

Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 13, no. 2, pp. 119-129, 1996