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dc.contributor.authorDuncan, George T.en_US
dc.contributor.authorElliot, Marken_US
dc.contributor.authorGonzalez, Juan-Jose Salazaren_US
dc.date.accessioned2016-07-06T01:18:20Z
dc.date.available2016-07-06T01:18:20Z
dc.date.issued2011en_US
dc.identifier.isbn9781441978011en_US
dc.identifier.otherHPU2160362en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22121
dc.description.abstractThe eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.en_US
dc.format.extent211 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer-Verlag New Yorken_US
dc.relation.ispartofseriesStatistics for Social and Behavioral Sciencesen_US
dc.subjectStatistical confidentialityen_US
dc.subjectStatisticalen_US
dc.subjectData managementen_US
dc.titleStatistical Confidentiality: Principles and Practiceen_US
dc.typeBooken_US
dc.size1.67 MBen_US
dc.departmentEnglish resourcesen_US


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