Use of Chernikova's Algorithm in the Generalized Edit and Imputation System
Auteur : Ioana Schiopu-Kratina, J. G. Kovar
Date de publication : 1989
Éditeur : Methodology Branch, Business Survey Methods Division, Statistics Canada
Nombre de pages : 41
Résumé du livre
The purpose of this report is to present that part of the methodology of the Generalized Edit and Imputation System (GEIS) presently being developed at Statistics Canada which uses Chernikova's algorithm. This system will be used by several surveys, thus saving on development costs. It uses methods from linear programming to perform edit and imputation for numerical data. The applicability of such methods to edit and imputation in statistical business surveys was revealed by G. Sande (see [18], [19]). Based on this work, a system was built to deal with numerical edit and imputation (NEIS).