Overview: Introduces the theory, applications and software implementation of statistical disclosure control methods and synthetic data generation.Features numerous examples, exercises with solutions, and case s.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 exampl
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