dc.contributor.author | Duncan, George T. | en_US |
dc.contributor.author | Elliot, Mark | en_US |
dc.contributor.author | Gonzalez, Juan-Jose Salazar | en_US |
dc.date.accessioned | 2016-07-06T01:18:20Z | |
dc.date.available | 2016-07-06T01:18:20Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.isbn | 9781441978011 | en_US |
dc.identifier.other | HPU2160362 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/22121 | |
dc.description.abstract | The 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.extent | 211 p. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.publisher | Springer-Verlag New York | en_US |
dc.relation.ispartofseries | Statistics for Social and Behavioral Sciences | en_US |
dc.subject | Statistical confidentiality | en_US |
dc.subject | Statistical | en_US |
dc.subject | Data management | en_US |
dc.title | Statistical Confidentiality: Principles and Practice | en_US |
dc.type | Book | en_US |
dc.size | 1.67 MB | en_US |
dc.department | English resources | en_US |