Statistical Disclosure Control for Microdata

Methods and Applications in R

Autor: Matthias Templ

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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This book on statistical disclosure control presents the theory, applications and software implement...

Informații despre carte

Autor

Matthias Templ

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2017

Pagini

287

EAN

9783319502700

ISBN

3319502700

Enbook ID

15359037

Editura

Springer International Publishing AG

Greutate

902

Dimensiuni

241 x 161 x 25

Descriere completă

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.

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Statistical Disclosure Control for Microdata

Methods and Applications in R

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