Abstract
The aim of this chapter is to discuss the impact of SDC techniques on the data analytic potential of microdata. There is no single correct way to define “analytic potential” since different users might analyze a given set of microdata in different unforeseen ways. We shall begin by assuming that the purpose of the analysis is to estimate a specified set of population parameters. These might be descriptive parameters, such as means or proportions or they may be analytic parameters, such as the coefficients of a regression model. We consider the impact of SDC techniques on the estimation of these parameters and, specifically, the impact of the SDC techniques discussed in Chapter 1.
To be sure, this word information in communication theory relates not so much to what you do say, as to what you could say.
That is, information is a measure of one's freedom of choice when one select a message.
—C. E. SHANNON and W. WEAVER, The Mathematical Theory of Communication
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© 2001 Springer Science+Business Media New York
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Willenborg, L., de Waal, T. (2001). Data Analytic Impact of SDC Techniques on Microdata. In: Elements of Statistical Disclosure Control. Lecture Notes in Statistics, vol 155. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0121-9_3
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DOI: https://doi.org/10.1007/978-1-4613-0121-9_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95121-8
Online ISBN: 978-1-4613-0121-9
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