When Excessive Perturbation Goes Wrong and Why IPUMS-International Relies Instead on Sampling, Suppression, Swapping, and Other Minimally Harmful Methods to Protect Privacy of Census Microdata-Reference-Cited by-同舟云学术

When Excessive Perturbation Goes Wrong and Why IPUMS-International Relies Instead on Sampling, Suppression, Swapping, and Other Minimally Harmful Methods to Protect Privacy of Census Microdata

Published:2012 Issue: Volume: Page:179-187
ISSN:0302-9743
Container-title:Privacy in Statistical Databases
language:
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Author:

Cleveland Lara,McCaa Robert,Ruggles Steven,Sobek Matthew

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33627-0_14

Reference9 articles.

1. Lecture Notes in Computer Science;R. McCaa,2006

2. Lecture Notes in Computer Science;R. McCaa,2010

3. United Nations Economic Commission for Europe. Conference of European Statisticians. Managing Statistical Confidentiality & Microdata Access: Principles and Guidelines of Good Practice. United Nations, Geneva (2007), See online edition Annex 1.23, http://www.unece.org/fileadmin/DAM/stats/publications/Managing.statistical.confidentiality.and.microdata.access.pdf

4. Reiter, J.P.: Statistical Approaches to Protecting Confidentiality for Microdata and Their Effects on the Quality of Statistical Inferences. Public Opinion Quarterly 76(1), 163–181 (2012), doi:10.1093/poq/nfr058

5. Duncan, G.T., Elliot, M., Salazar-González, J.-J.: Statistical Confidentiality: Principles and Practice. Springer, Heidelberg (2011)

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