Suppression Methodology and Statistical Disclosure Control

DOI10.2307/2287463zbMath0462.62087OpenAlexW4244155092MaRDI QIDQ3911922

Lawrence H. Cox

Publication date: 1980

Full work available at URL: https://doi.org/10.2307/2287463

zbMATH Keywords

linear estimationlinear optimizationvalidationstatistical disclosure controlcomplementary cell suppressionlinear sensitivity measureoversuppression

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Applications of statistics (62P99)

Related Items (12)

Smallest bipartite bridge-connectivity augmentation ⋮ Data confidentiality: a review of methods for statistical disclosure limitation and methods for assessing privacy ⋮ Mathematical models for applying cell suppression methodology in statistical data protection. ⋮ Improving Statistics Canada’s cell suppression software (CONFID) ⋮ Integrated exact, hybrid and metaheuristic learning methods for confidentiality protection ⋮ Examining the robustness of fully synthetic data techniques for data with binary variables ⋮ The bridge-connectivity augmentation problem with a partition constraint ⋮ Exact disclosure prevention in two-dimensional statistical tables ⋮ Information loss in three cell-level control techniques for summary tables ⋮ Estimating suppressed data in regional economic databases: A goal-programming approach ⋮ Lower-bounding procedures for the 2-dimensional cell suppression problem ⋮ Cardinality-Based Inference Control in Sum-Only Data Cubes

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