Eliminating small cells from census counts tables: empirical vs. design transition probabilities

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 c...

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Detalles Bibliográficos
Autores: Giessing, Sarah, Höhne, Jörg
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/11380
Acceso en línea:https://hdl.handle.net/2099/11380
Access Level:acceso abierto
Palabra clave:Statistics-Tables
Tabular data protection
Census Frequency Tables
SAFE
Post-tabular protection methods
Estadística matemàtica -- Taules
Classificació AMS::62 Statistics::62Q05 Statistical tables
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
Descripción
Sumario: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)