Introduction to Statistical Disclosure Control ( SDC )

@inproceedings{Kowarik2014IntroductionTS,
  title={Introduction to Statistical Disclosure Control ( SDC )},
  author={Alexander Kowarik},
  year={2014}
}
Dissemination and use of this Working Paper is encouraged. Reproduced copies may however not be used for commercial purposes. The findings, interpretations, and views expressed in this paper are those of the author(s) and do not necessarily represent those of the International Household Survey Network member agencies or secretariat. To support research and policymaking, there is an increasing demand for microdata. Microdata are data that hold information collected on individual units, such as… CONTINUE READING

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Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES

Microdata Protection through Noise Addition

  • Inference Control in Statistical Databases
  • 2002
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

sdcMicro: Statistical Disclosure Control methods for the generation of public- and scientific-use files

M. Templ, A. Kowarik, B. Meindl
  • Manual and Package.,
  • 2013
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Estimators and model predictions from the structural earnings survey for benchmarking statistical disclosure methods

M. Templ
  • Research Report CS-2011-4, Department of Statistics and Probability Theory, Vienna University of Technology,
  • 2011
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

2014b, how to do this with the GUI]. Number o f ob s e rva t i on s v i o l a t i n g − 2−anonymity

Templ
  • 2014

sdcmicro case studies

M. Templ, A. Kovarik, B. Meindl
  • Research Report CS-2014-1, Department of Statistics and Probability Theory. Vienna University of Technology,
  • 2014
VIEW 2 EXCERPTS

sdcmicro case studies

M. Templ, A. Kovarik, B. Meindl
  • Research Report CS-2014-1, Department of Statistics and Probability Theory. Vienna University of Technology,
  • 2014
VIEW 2 EXCERPTS

Comparison of perturbation methods based on pre-defined quality indicators

M. Templ
  • In Joint UNECE/Eurostat work session on statistical data confidentiality,
  • 2011