Statistical Disclosure Control for Microdata

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Focusing on statistical disclosure control, this book explores the theory and practical applications of traditional microdata anonymization techniques, including data perturbation, disclosure risk, and information loss. It introduces R packages sdcMicro and simPop, providing numerous examples, exercises with solutions, and case studies using real-world data. Readers can access the accompanying R code to replicate results, enhancing their understanding of data utility and synthetic data simulation.