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Statistical Disclosure Control for Microdata : Methods and Applications in R by Matthias Templ is a nonfiction available to read on EtoBox.

What is Statistical Disclosure Control for Microdata : Methods and Applications in R about?

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 researche

Who reads Statistical Disclosure Control for Microdata : Methods and Applications in R?

Author

Matthias Templ

Publisher

Springer International Publishing Springer

Published

2017

Language

EN

ISBN

9783319502700

Category

nonfiction

Subjects

Computer Science, Education, Medical