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New Developments in Statistical Disclosure Control and Imputation
Robust Statistics Applied to Official Statistics
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194 b
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The aim of statistical disclosure control is to keep§up the required statistical privacy while making data§available to the researchers. This can be§achieved with the help of minimal modifications of§the data without changing the multivariate data§structure.§In this book the well-developed R package sdcMicro is§introduced. With the help of this package it is§possible to keep microdata confidential in a very§effective way. The concept is thoroughly explained§and its application is demonstrated using real-world§data.§In addition to that, the robustification of§disclosure methods is described. Many SDC-methods for§microdata developed so far can be influenced by§outliers to a great extent resulting in a high loss§of information of the perturbed data. §Missing values are the second topic of this book. The§application of visualisation tools for the analysis§of missing values, preceding the choice of an§imputation method, is highlighted.§In addition to that, new methods for the imputation§of composition data are introduced. Due to the§linear dependence of the variables from compositional§data, reasonalbe imputations can be made by§considering the special nature of such data.
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