Titlebook: Elements of Statistical Disclosure Control; Leon Willenborg,Ton Waal Book 2001 Springer Science+Business Media New York 2001 Variance.codi

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Overview of the Area,oducts” in a variety of formats. For example, they may release tables to the public through published reports or release microdata files to academics for secondary data analysis. The problem addressed in statistical disclosure control (SDC) is that it is conceivable that a person who is given access

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Application of Non-Perturbative SDC Techniques for Microdata,scussed in Chapter 1. In our discussion we assume disclosure scenarios of the type discussed in Chapter 2. These scenarios have in common that an intruder is supposed to use a number of low-dimensional combinations of key variables in an attempt to disclose private information. Global recoding and l

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Disclosure Risk for Tabular Data,y for each cell into which the table is organized. We shall sometimes use the term . as an alternative term for the disclosure risk of a table or cell. We suppose that a threshold may be specified as the maximum value below which the disclosure risk is deemed acceptable. Disclosure risk exceeding th

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Application of Non-Perturbative Techniques for Tabular Data, namely table redesign and secondary cell suppression. We start our discussion by considering a single table with its marginals, and then consider the more general case of hierarchical and linked tables. In fact the single table case is the one that has been given most attention in the literature, a

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Application of Perturbative Techniques for Tabular Data,in a table by adding random values to them. The random values are generated according to a prescribed probability distribution. “Rounding” in fact refers not to a particular SDC-technique but rather to a class of SDC-techniques. Each of these SDC-techniques has its own advantages and disadvantages.

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Ramkishen S. Rajan,Venkataramana Yanamandrain a table by adding random values to them. The random values are generated according to a prescribed probability distribution. “Rounding” in fact refers not to a particular SDC-technique but rather to a class of SDC-techniques. Each of these SDC-techniques has its own advantages and disadvantages.