<p><p>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. In
Statistical Disclosure Control for Microdata: Methods and Applications in R
β Scribed by Matthias Templ
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 295
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>The aim of this book is to discuss various aspects associated with disseminating personal or business data collected in censuses or surveys or copied from administrative sources. The problem is to present the data in such a form that they are useful for statistical research and to provide suffici
<p><p>The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal w
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