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Statistical Disclosure Control for Microdata - Methods and Applications in R (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R1,713
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Statistical Disclosure Control for Microdata - Methods and Applications in R (Paperback, Softcover reprint of the original 1st ed. 2017)
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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 da ta 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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