Statistical Disclosure Control for Micro
β Matthias Templ
π Library
π
2017
π Springer
π English
β¦ LIBER β¦
π
Statistical Disclosure Control for Microdata: Methods and Applications in R
β Scribed by Matthias Templ (auth.)
- Publisher
- Springer International Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 299
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages i-xix
Software....Pages 1-34
Basic Concepts....Pages 35-48
Disclosure Risk....Pages 49-97
Methods for Data Perturbation....Pages 99-132
Data Utility and Information Loss....Pages 133-156
Synthetic Data....Pages 157-179
Practical Guidelines....Pages 181-186
Case Studies....Pages 187-260
Back Matter....Pages 261-287
β¦ Subjects
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law;Statistics and Computing/Statistics Programs;Statistical Theory and Methods;Statistics for Business/Economics/Mathematical Finance/Insurance;Statisti
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