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On the Hellinger distance for measuring information loss in microdata
IIIA-CSIC, Bellaterra, Catalonia, Spain.
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2013 (English)In: Joint UNECE/Eurostat work session on statistical data confidentiality, Ottawa, Canada, 28-30 October 2013, 2013Conference paper, Published paper (Other academic)
Abstract [en]

The literature presents different approaches to measure information loss in data protection. The probabilistic information loss measure is based on comparison of means, variances, covariance, correlation coefficients and quantiles. In a recent paper the Hellinger distance has also been used to measure information loss. This distance has been used to compare univariate probability distributions. In this paper we will discuss the use of the Hellinger distance to measure information loss, and compare its results with PIL measures. A set of experiments using numerical files protected using a few data protection methods will be presented.

Place, publisher, year, edition, pages
2013.
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-96449OAI: oai:DiVA.org:su-96449DiVA: diva2:665928
Conference
Joint UNECE/Eurostat work session on statistical data confidentiality, Ottawa, Canada, 28-30 October 2013
Available from: 2013-11-21 Created: 2013-11-21 Last updated: 2014-02-20Bibliographically approved

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