By Leon Willenborg, Ton de Waal
Statistical disclosure keep watch over is the self-discipline that offers with generating statistical facts which are secure sufficient to be published to exterior researchers. This publication concentrates at the technique of the world. It bargains with either microdata (individual information) and tabular (aggregated) information. The booklet makes an attempt to improve the speculation from what might be referred to as the paradigm of statistical confidentiality: to change harmful information in this kind of method that secure (enough) info emerge, with minimal details loss. This e-book discusses what secure facts, are, how info loss could be measured, and the way to change the information in a (near) optimum method. as soon as it's been made up our minds find out how to degree protection and knowledge loss, the creation of secure facts from harmful info is usually a topic of fixing an optimization challenge. a number of such difficulties are mentioned within the booklet, and so much of them turn into difficult difficulties that may be solved in simple terms nearly. The authors current new effects that experience no longer been released prior to. The e-book isn't really an outline of a space that's closed, yet, to the contrary, one who nonetheless has many spots looking forward to to be extra absolutely explored. a few of these are indicated within the publication. The publication can be worthwhile for respectable, social and scientific statisticians and others who're excited by freeing own or enterprise facts for statistical use. Operations researchers might be drawn to the optimization difficulties concerned, really for the demanding situations they current. Leon Willenborg has labored on the division of Statistical equipment at records Netherlands in view that 1983, first as a researcher and because 1989 as a senior researcher. considering that 1989 his major box of study and consultancy has been statistical disclosure keep an eye on. From 1996-1998 he used to be the undertaking coordinator of the european co-funded SDC project.
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Additional info for Elements of Statistical Disclosure Control
Statistical integrity is primarily the concern of a statistician rather than of an intruder. There is another integrity concept at stake in statistical confidentiality which is particularly important in relation to an intruder. This concept is related to the consistency concept in data editing of microdata, which means that this data set satisfies a number of edits, which are constraints on the joint values of the variables. If a disclosure protection technique is applied to such a microdata set (which we assume consistent) and always will yield a microdata set that is again is consistent, than we call the protection technique non-perturbative.
It is only in case that a computer program has to make such decisions that formal information loss measures are necessary. Such measures are then used as counterweights for the SDC actions. This is the 24 1. Overview of the Area reason why such measures are considered in this book. Since the measures are quite different for micro data and tables we shall treat them separately. As will become clear below, the calculation of certain information loss measures can be too laborious. This is not desirable.
9 Microaggregation Microaggregation is a perturbative technique applicable to quantitative variables. In its simplest form it is applied to a single variable. In a more sophisticated form it is applicable to more than one variable. Microaggregation can be viewed as a technique like rounding or noise addition, although it has the property that it preserves grand totals. In univariate microaggregation the idea is to sort the values in the microdata set with respect to a variable V, form groups of consecutive values, replace the value Vr of V in record r by the average of the group to which r belongs.