Abstract
Many statistical agencies nowadays operate or envision tools for ad hoc creation and visualization of aggregate tables. Such tools can indeed increase the efficiency of those parts of the data production process that involve creating tables customized to user queries, if disclosure control is an integrated component. Especially in the case of business data certain disadvantages of traditional methods like cell suppression become critical in such a context. Literature has discussed alternative ideas based on stochastic disclosure limitation methods like pre-tabular multiplicative noise [1], or post-tabular additive noise [2]. As an extension of the latter, post-tabular multiplicative noise has been introduced in [4].The present paper elaborates further on this approach.
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Giessing, S. (2012). Flexible Rounding Based on Consistent Post-tabular Stochastic Noise. In: Domingo-Ferrer, J., Tinnirello, I. (eds) Privacy in Statistical Databases. PSD 2012. Lecture Notes in Computer Science, vol 7556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33627-0_3
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DOI: https://doi.org/10.1007/978-3-642-33627-0_3
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