A post-randomization method for rigorous identification risk control in releasing microdata
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Publication:2223150
DOI10.1007/s42519-020-00143-2zbMath1458.62057OpenAlexW3104063254MaRDI QIDQ2223150
Publication date: 28 January 2021
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42519-020-00143-2
Applications of statistics in engineering and industry; control charts (62P30) Sampling theory, sample surveys (62D05) Order statistics; empirical distribution functions (62G30) Statistical aspects of big data and data science (62R07)
Uses Software
Cites Work
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- Statistical Disclosure Risk: Separating Potential and Harm
- A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality ProtectionaaThe views expressed in this chapter are those of the authors and not necessarily those of the US Census Bureau. The analysis and conclusions contained in this chapter are those of the authors and do not represent the official position of the US Energy Information Administration (EIA) or the US Department of Energy (DOE).
- Design and Analysis of the Randomized Response Technique
- On Invariant Post‐randomization for Statistical Disclosure Control
- Measuring Identification Risk in Microdata Release and Its Control by Post‐randomisation
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