Eliminating Small Cells from Census Counts Tables: Some Considerations on Transition Probabilities

Author:

Giessing Sarah,Höhne Jörg

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Castro, J.: Minimum-distance controlled perturbation methods for large-scale tabular data protection. European Journal of Operational Research 171, 39–52 (2006)

2. Castro, J., González, J.A.: A Package for L1 Controlled Tabular Adjustment. Paper Presented at the Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality, Bilbao (December 2-4, 2009), http://www.unece.org/stats/documents/2009.12.confidentiality.htm

3. Dandekar, R.H., Cox, L.: Synthetic Tabular Data – an Alternative to Complementary Cell Suppression (2002) (unpublished) (manuscript)

4. Fraser, B., Wooton, J.: A proposed method for confidentialising tabular output to protect against differencing. In: Monographs of Official Statistics. Work session on Statistical Data Confidentiality, Eurostat-Office for Official Publications of the European Communities, Luxembourg, pp. 299–302 (2006)

5. Höhne, J.: SAFE – ein Verfahren zur Geheimhaltung und Anonymisierung Statistischer Einzelangaben. In: Berliner Statistik - Statistische Monatsschrift 3/2003 (2003a)

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