Statistical disclosure control for microdata. Methods and applications in R
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2017
Typ der Arbeit
Studiengang
Sammlung
Typ
02 - Monographie
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
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Springer Cham
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Cham
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Abtretungsempfänger:in
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Zusammenfassung
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results.
The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release.
This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
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Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Nein
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Fachlektorat/Editorial Review
Open Access-Status
Closed
Lizenz
Zitation
Templ, M. (2017). Statistical disclosure control for microdata. Methods and applications in R. Springer Cham. https://doi.org/10.1007/978-3-319-50272-4