Abstract
Controlled tabular adjustment preserves confidentiality and tabular structure. Quality-preserving controlled tabular adjustment in addition preserves parameters of the distribution of the original (unadjusted) data. Both methods are based on mathematical programming. We introduce a method for preserving the original distribution itself, a fortiori the distributional parameters. The accuracy of the approximation is measured by minimum discrimination information. MDI is computed using an optimal statistical algorithm—iterative proportional fitting.
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© 2006 Springer-Verlag Berlin Heidelberg
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Cox, L.H., Orelien, J.G., Shah, B.V. (2006). A Method for Preserving Statistical Distributions Subject to Controlled Tabular Adjustment. In: Domingo-Ferrer, J., Franconi, L. (eds) Privacy in Statistical Databases. PSD 2006. Lecture Notes in Computer Science, vol 4302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11930242_1
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DOI: https://doi.org/10.1007/11930242_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49330-3
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