Abstract #300947

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JSM 2003 Abstract #300947
Activity Number: 326
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #300947
Title: Some Reduction Techniques in Linear Editing
Author(s): Stanley S. Weng*+
Companies: National Agricultural Statistics Service
Address: U.S. Department of Agriculture, Fairfax, VA, 22030-1504,
Keywords: elimination by equality ; automatic editing ; Fellegi-Holt methodology ; linear edits ; edit analysis ; implicit equality
Abstract:

This paper presents our recent methodological development of reduction techniques for creating and analyzing linear edits. The concept of implicit equality is introduced for a set of inequalities, and theory for identifying an implicit equality is established based on linear programming theory. An approach for edit analysis is developed using the implicit equality theory combined with the elimination by equality methodology previously developed by the author, to reach a minimal representation for a set of linear edits to enter an editing system. The methodology is also used to develop techniques in transferring a conditional linear edit to an unconditional one. The techniques developed were applied to the creation and analysis of linear edits for the U.S. Census of Agriculture, in the development of an automatic linear editing system under the Fellegi-Holt methodology based on a previous editing system of decision logic tables.

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