Statistical Disclosure Control for Microdata

Methods and Applications in R

Inbunden, Engelska, 2017

AvMatthias Templ

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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

Utgivningsdatum2017-05-12
Mått155 x 235 x 25 mm
Vikt902 g
FormatInbunden
SpråkEngelska
Antal sidor287
FörlagSpringer International Publishing AG
ISBN9783319502700

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Sociologi inom Samhalle och politik
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Affärsapplikationer inom Data och it

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.