A method for preserving statistical distributions subject to controlled tabular adjustment

Authors:
Lawrence H. Cox;Jean G. Orelien;Babubhai V. Shah
Affiliations:
National Center for Health Statistics, Hyattsville, MD;Scimetrika, LLC, NC;Scimetrika, LLC, NC
Venue:
PSD'06 Proceedings of the 2006 CENEX-SDC project international conference on Privacy in Statistical Databases
Year:
2006

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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.