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Statistical Disclosure Control Based on Random Uncertainty Intervals

  • Jinfang Wang
Conference paper

Abstract

In this paper we propose a statistical framework for controlling the risk in disclosing public micro-data. The idea is to replace the micro-data by controllable quasi-data represented as uncertainty intervals. An uncertainty interval is an interval covering a genuine datum with specified probability. We also discuss statistical inferences based on random intervals. Problems discussed include point and interval estimation of the mean, two-sample tests and density estimations.

Keywords

Hausdorff Distance Uncertainty Interval Random Interval Artificial Data Uncertainty Level 
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Copyright information

© Springer Japan 2002

Authors and Affiliations

  • Jinfang Wang
    • 1
  1. 1.The Institute of Statistical MathematicsMinato-ku, TokyoJapan

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