Items related to Statistical Disclosure Control in Practice
Synopsis
1 Introduction to Statistical Disclosure Control.- 1.1 Introduction.- 1.2 The increasing importance of SDC.- 1.3 The Problems.- 1.3.1 Microdata.- 1.3.2 Tables.- 2 Principles.- 2.1 Introduction.- 2.2 Basic Concepts.- 2.3 Preliminaries on the SDC for Microdata.- 2.4 The Philosophy of SDC for Microdata.- 2.5 The World According to a Releaser of Microdata.- 2.6 SDC for Tables.- 3 Policies and Case Studies.- 3.1 Introduction.- 3.2 Options for Data Dissemination.- 3.3 SDC Policy for Microdata of Various Statistical Offices.- 3.4 The Netherlands: WSA.- 3.5 Great Britain: Samples of Anonymized Records.- 3.5.1 Samples of Anonymized Records.- 3.5.2 Confidentiality Protection in the SARs.- 3.5.3 Dissemination of SARs.- 3.6 Eurostat.- 3.7 Luxemburg Income Study.- 4 Microdata.- 4.1 Introduction.- 4.2 SDC rules.- 4.2.1 Classification of Variables.- 4.2.2 Rareness Criteria.- 4.2.3 Sensitive Variables.- 4.2.4 Household Variables.- 4.2.5 Regional Variables.- 4.2.6 The Spread of Regional Characteristics.- 4.2.7 Sampling Weights.- 4.2.8 Remaining SDC Rules.- 4.2.9 Examples of Sets of SDC Rules.- 4.3 SDC for Microdata Sets in Practice.- 4.3.1 SDC Measures.- 4.3.2 Matching Microdata Sets.- 4.3.3 The Use of a Larger Microdata Set.- 4.3.4 Continuous Variables.- 4.3.5 Comments on the Construction of Household Files.- 5 Microdata: Backgrounds.- 5.1 Introduction.- 5.2 Estimation of Population Frequencies.- 5.3 Continuous Variables.- 5.4 Global Recoding and Local Suppression.- 5.5 Sampling Weights.- 5.6 The Re-identification Risk of an Entire Microdata Set.- 6 Tabular Data.- 6.1 Introduction.- 6.2 Tables with Magnitude Data.- 6.3 Sensitive Cells in Frequency Count Data.- 6.4 Disclosure Control Measures.- 6.4.1 Table Redesign.- 6.4.2 Cell Suppression.- 6.4.3 Feasibility Intervals.- 6.4.4 Rounding.- 6.4.5 Averages and Fractions.- 6.5 Recommendations.- 6.5.1 A Procedure for SDC of Tabular Data.- 6.5.2 Warning.- 6.5.3 Tabular Data Based on Samples.- 6.6 Linked Tables.- 7 Tabular Data: Backgrounds.- 7.1 Introduction.- 7.2 Sensitivity Measures.- 7.3 Secondary Cell Suppression.- 7.3.1 Computing Feasibility Interval.- 7.3.2 The Hypercube Method.- 7.4 Stochastic Rounding.- 7.4.1 The Method of Fellegi for One-dimensional Tables.- 7.4.2 The Method of Cox for Two-dimensional Tables.- 7.5 Linked Tables.- 7.5.1 Fixed Set of Linked Tables.- 7.5.2 Non-fixed Set of Linked Tables.- 8 Loose Ends.- References.
"synopsis" may belong to another edition of this title.
(No Available Copies)
Search Books: Create a WantCan't find the book you're looking for? We'll keep searching for you. If one of our booksellers adds it to AbeBooks, we'll let you know!
Create a Want
