Statistical disclosure control based on random uncertainty intervals

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.