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On identification disclosure and prediction disclosure for microdata
Author(s) -
Skinner C.J.
Publication year - 1992
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1992.tb01324.x
Subject(s) - microdata (statistics) , identification (biology) , econometrics , population , poisson distribution , statistics , computer science , self disclosure , mathematics , psychology , medicine , social psychology , census , botany , environmental health , biology
Two definitions of statistical disclosure ‐ identification disclosure and prediction disclosure ‐ are compared. Identification disclosure implies prediction disclosure but not vice versa. It is argued, however, that if sampling takes place then cases where prediction disclosure occurs and identification disclosure does not either have very small probability or do not present disclosure problems different from those normally met in the release of aggregate statistics. Finally the estimation of population uniqueness using the Poisson‐Gamma model is considered.