Statistical Disclosure Control for Microdata : Methods and Applications in R. 1st ed. 2017

種類:

電子ブック

責任表示:

by Matthias Templ

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

• Templ, Matthias.
• SpringerLink (Online service)

ISBN:

9783319502724 [3319502727]    

注記:

Preface -- Software -- Basic Concepts -- Disclosure Risk -- Methods for Data Perturbation -- Data Utility and Information Loss -- Synthetic Data -- Practical Guidelines -- Case Studies -- Solutions -- Index.
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 dat a before release. This book is i

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