Titlebook: Statistical Disclosure Control for Microdata; Methods and Applicat Matthias Templ Book 2017 Springer International Publishing AG 2017 62D99

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Book 2017anonymization, 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 wit

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Synthetic Data,tion—is described in detail. It is also the reason why whole populations are simulated rather than only surveys. For other approaches, we refer to Drechsler (.) (Drechsler, Synthetic data sets for statistical disclosure control. Springer, New York, 2011) and other references below.

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978-3-319-84362-9Springer International Publishing AG 2017

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https://doi.org/10.1007/978-3-319-50272-462D99, 62D05, 62-07, 62J05, 62P25; statistical disclosure control; microdata; disclosure risk; informati

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