Statistical Disclosure Control for Microdata

Methods and Applications in R

Autor: Matthias Templ

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

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

Informácie o knihe

Autor

Matthias Templ

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2017

Stránok

287

EAN

9783319502700

ISBN

3319502700

Enbook ID

15359037

Vydavateľ

Springer International Publishing AG

Hmotnosť

902

Rozmery

241 x 161 x 25

Kompletný popis

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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