Statistical Disclosure Control for Microdata is popular PDF and ePub book, written by Matthias Templ in 2017-05-05, it is a fantastic choice for those who relish reading online the Social Science genre. Let's immerse ourselves in this engaging Social Science book by exploring the summary and details provided below. Remember, Statistical Disclosure Control for Microdata can be Read Online from any device for your convenience.
Statistical Disclosure Control for Microdata Book PDF Summary
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.
Detail Book of Statistical Disclosure Control for Microdata PDF
- Author : Matthias Templ
- Release : 05 May 2017
- Publisher : Springer
- ISBN : 9783319502724
- Genre : Social Science
- Total Page : 299 pages
- Language : English
- PDF File Size : 19,5 Mb
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