Statistical Disclosure Control For Microdata
Download Statistical Disclosure Control For Microdata full books in PDF, epub, and Kindle. Read online free Statistical Disclosure Control For Microdata ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Statistical Disclosure Control for Microdata
Author | : Matthias Templ |
Publisher | : Springer |
Total Pages | : 299 |
Release | : 2017-05-05 |
Genre | : Social Science |
ISBN | : 3319502727 |
Download Statistical Disclosure Control for Microdata Book in PDF, Epub and Kindle
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.
Statistical Disclosure Control for Microdata Related Books
Pages: 299
Pages: 308
Pages: 273
Pages: 164
Pages: 148