Treffer: Eliminating small cells from census counts tables: empirical vs. design transition probabilities
Title:
Eliminating small cells from census counts tables: empirical vs. design transition probabilities
Authors:
Publisher Information:
Institut d'Estadística de Catalunya
Publication Year:
2011
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
SORT. 2011, Special issue: Privacy in statistical databases; Giessing, Sarah; Höhne, Jörg. Eliminating small cells from census counts tables: empirical vs. design transition probabilities. "SORT", Special Issue.; http://hdl.handle.net/2099/11380
Availability:
Rights:
Open Access
Accession Number:
edsbas.FEE9A88A
Database:
BASE
Weitere Informationen
The software SAFE has been developed at the State Statistical Institute Berlin-Brandenburg and has been in regular use there for several years now. It involves an algorithm that yields a controlled cell frequency perturbation. When a microdata set has been protected by this method, any table which can be computed on the basis of this microdata set will not contain any small cells, e.g. cells with frequency counts 1 or 2. We compare empirically observed transition probabilities resulting from this pre-tabular method to transition matrices in the context of variants of microdata key based post-tabular random perturbation methods suggested in the literature, e.g. Shlomo, N., Young, C. (2008) and Fraser, B.,Wooton, J. (2006) ; Peer Reviewed