Leon Willenborg, Ton de Waal

Statistical Disclosure Control in Practice

• Broschiertes Buch

Produktbeschreibung

The 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.

Produktdetails

• Lecture Notes in Statistics 111
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-0-387-94722-8
• 1996.
• Seitenzahl: 172
• Erscheinungstermin: 11. April 1996
• Englisch
• Abmessung: 235mm x 155mm x 10mm
• Gewicht: 252g
• ISBN-13: 9780387947228
• ISBN-10: 0387947221
• Artikelnr.: 09234077

Autorenporträt

Leon Willenborg has worked at the Department of Statistical Methods at Statistics Netherlands since 1983, first as a researcher and since 1989 as a senior researcher. Since 1989 his main field of research and consultancy has been statistical disclosure control. From 1996-1998 he was the project coordinator of the EU co-funded SDC project.

Inhaltsangabe

1 Introduction to Statistical Disclosure Control.- 1.1 Introduction.- 1.2 The increasing importance of SDC.- 1.3 The Problems.- 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.- 3.6 Eurostat.- 3.7 Luxemburg Income Study.- 4 Microdata.- 4.1 Introduction.- 4.2 SDC rules.- 4.3 SDC for Microdata Sets in Practice.- 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.- 6.5 Recommendations.- 6.6 Linked Tables.- 7 Tabular Data: Backgrounds.- 7.1 Introduction.- 7.2 Sensitivity Measures.- 7.3 Secondary Cell Suppression.- 7.4 Stochastic Rounding.- 7.5 Linked Tables.- 8 Loose Ends.- References.