Statistical Disclosure Control in PracticeThe aim of this book is to discuss various aspects associated with disseminating personal or business data collected in censuses or surveys or copied from administrative sources. The problem is to present the data in such a form that they are useful for statistical research and to provide sufficient protection for the individuals or businesses to whom the data refer. The major part of this book is concerned with how to define the disclosure problem and how to deal with it in practical circumstances. |
Contents
Introduction to Statistical Disclosure Control | 1 |
Microdata | 4 |
Backgrounds | 7 |
Principles | 13 |
Policies and Case Studies | 29 |
1995 | 48 |
Backgrounds | 69 |
Tabular Data | 89 |
Warning | 107 |
Loose Ends | 135 |
| 150 | |
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Common terms and phrases
0-1 integer programming activity II adding noise applied assume attacker categorical variables cell values Census checked combination of values contribution corresponding data set disclose disclosure control disclosure risk discussed dominance rule enterprises in region Eurostat example feasibility interval global recoding guilders household variables hypercube identification file identifying variables indirect regional variables individual information loss instance integer interval estimator key value key variables linked tables marginal totals method microdata file number of persons occur frequently Paaß and Wauschkuhn particular perturbation possible probability problem protection interval public use files published re-identification risk Region A Region Region C Total respondent result risk of re-identification rounding base safe sampling fraction sampling weights SARS score SDC for microdata SDC measures SDC rules secondary cell secondary suppressions Section sensitive cells sensitive variables statistical office Statistics Netherlands Suppose suppressed cells survey table redesign tabular data techniques threshold value Total Activity unique users Voorburg