Statistical Disclosure Control for Microdata

Methods and Applications in R

AvMatthias Templ

Inbunden, Engelska, 2017

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2017-05-12
Mått:155 x 235 x 25 mm
Vikt:902 g
Format:Inbunden
Språk:Engelska
Antal sidor:287
Förlag:Springer International Publishing AG
ISBN:9783319502700

Utforska kategorier

Nationalekonomi inom Ekonomi och Ledarskap
Matematisk statistik inom Naturvetenskap och teknik
Sociologi inom Samhälle och politik

Mer om författaren

Matthias Templ works as a university lecturer and researcher at the Zurich University of Applied Sciences in Winterthur, Switzerland, and teaches at the Vienna University of Technology in Austria. He is one of the founders of data-analysis OG and holds a PhD in Technical Mathematics and the Venia Legendi (Habilitation) in Statistics. His main research interests include computational statistics and survey methodology. He has been actively involved in many international projects on Statistical Disclosure Control with international organizations (the World Bank, UNIDO, OECD, Eurostat) and has published more than 44 papers in indexed scientific journals in the past few years. He maintains the CRAN Task View on Official Statistics and Survey Methodology and is the author of several R packages for official statistics, such as the R package sdcMicro for statistical disclosure control, the VIM package for the visualization and imputation of missing values, and the package robCompositions for the robust analysis of compositional data.

Innehållsförteckning

Preface.- Software.- Basic Concepts.- Disclosure Risk.- Methods for Data Perturbation.- Data Utility and Information Loss.- Synthetic Data.- Practical Guidelines.- Case Studies.- Solutions.- Index.