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.
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Wang, J. (2002). Statistical Disclosure Control Based on Random Uncertainty Intervals. In: Jin, Q., Li, J., Zhang, N., Cheng, J., Yu, C., Noguchi, S. (eds) Enabling Society with Information Technology. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66979-1_24
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DOI: https://doi.org/10.1007/978-4-431-66979-1_24
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-66981-4
Online ISBN: 978-4-431-66979-1
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