Measurement error and statistical disclosure control

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Statistical agencies release microdata to researchers after applying statistical disclosure control (SDC) methods. Noise addition is a perturbative SDC method which is carried out by adding independent random noise to a continuous variable or by misclassifying values of a categorical variable according to a probability mechanism. Because these errors are purposely introduced into the data by the statistical agency, the perturbation parameters are known and can be used by researchers to adjust statistical inference through measurement error models. However, statistical agencies rarely release perturbation parameters and therefore modifications to SDC methods are proposed that a priori ensure valid inferences on perturbed datasets. © 2010 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
Subtitle of host publicationEds. J. Domingo-Ferrer and E. Magkos
Place of PublicationGermany
PublisherSpringer Nature
Pages118-126
Number of pages8
Volume6344
DOIs
Publication statusPublished - 2010
EventInternational Conference on Privacy in Statistical Databases, PSD 2010 - Corfu
Duration: 1 Jul 2010 → …

Conference

ConferenceInternational Conference on Privacy in Statistical Databases, PSD 2010
CityCorfu
Period1/07/10 → …

Keywords

  • Additive noise
  • Post-randomisation method
  • Reliability ratio

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