Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables

نویسندگان

  • Jordi Castro
  • José A. González
چکیده

Minimum distance controlled tabular adjustment (CTA) is a perturbative technique of statistical disclosure control for tabular data. Given a table to be protected, CTA looks for the closest safe table by solving an optimization problem using some particular distance in the objective function. CTA has shown to exhibit a low disclosure risk. The purpose of this work is to show that CTA also provides a low information loss, focusing on two-way tables. Computational results on a set of midsize tables validate this statement.

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تاریخ انتشار 2014