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Definition: Non-linear edits
Category: UN - Data editing terminology
Edits from non-linear constraints. For example, if v1 and v2 are variables and b are real constants, then nonlinear edits are: 1. v1 v2 b. 2. v1 exp(v2). 3. conditional edits. 4. Mahalanobis-distance edits with multivariate normal data. The importance of nonlinear edits is that they occur often but are not amendable to theory in the determination of a minimal set. Some nonlinear edits, such as ratio edits, can be cast in a linear form. http://www1.unece.org/stat/platform/display/kbase/Glossary
Source:
Economic Commission for Europe of the United Nations (UNECE), The Knowledge Base on Statistical Data Editing, Online glossary developed by the UNECE Data Editing Group, 2000
Economic Commission for Europe of the United Nations (UNECE), The Knowledge Base on Statistical Data Editing, Online glossary developed by the UNECE Data Editing Group, 2000
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