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- W4295837808 abstract "AbstractCell suppression is a widely used statistical disclosure control method for tabular data. Commonly, several linked tables are suppressed simultaneously. After publication, additional tables may be requested. In many contexts, new tables mean new ways of grouping and aggregating data that has already been published. The suppression of the new tables must be coordinated with the tables that have already been disseminated. A certain type of synthetic decimal numbers has proven to be very useful for this purpose. Based on the aggregation of these decimal numbers, one can decide whether a cell should be suppressed or not. An aggregation summing up to a whole number means the same as non-suppression. This article describes the theoretical basis for such decimal numbers. This is based on standard methodology from ordinary linear regression. The method is illustrated by a small example. In addition, two practical applications at Statistics Norway are presented, where one involves large hierarchical and linked tables where more than 50000 unique cells were primarily suppressed.KeywordsStatistical disclosure controlConfidentialityTabular dataCell suppressionSynthetic dataLinear regressionOfficial statistics" @default.
- W4295837808 created "2022-09-15" @default.
- W4295837808 creator A5016239351 @default.
- W4295837808 creator A5061214687 @default.
- W4295837808 date "2022-01-01" @default.
- W4295837808 modified "2023-10-17" @default.
- W4295837808 title "Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular Data" @default.
- W4295837808 cites W1604035549 @default.
- W4295837808 cites W2008205484 @default.
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- W4295837808 doi "https://doi.org/10.1007/978-3-031-13945-1_8" @default.
- W4295837808 hasPublicationYear "2022" @default.
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