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For the benefit of those working with proprietary data, this volume embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes. The text explores dilemma of data stewardship organizations (such as statistical agencies), identifies risks and provides techniques for statistical disclosure limitation.
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- ÉditeurSpringer
- Date d'édition2013
- ISBN 10 1461428378
- ISBN 13 9781461428374
- ReliureBroché
- Nombre de pages212
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Statistical Confidentiality: Principles and Practice (Statistics for Social and Behavioral Sciences) by Duncan, George T. T. [Paperback ]
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ISBN 10 : 1461428378
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Statistical Confidentiality: Principles and Practice (Statistics for Social and Behavioral Sciences)
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ISBN 13 : 9781461428374
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Statistical Confidentiality : Principles and Practice
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Statistical Confidentiality
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(2013)
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ISBN 13 : 9781461428374
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Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, "Just give me the data; I m only going to do good things with it." Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups.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. 212 pp. Englisch. N° de réf. du vendeur 9781461428374
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Statistical Confidentiality: Principles and Practice
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Springer-Verlag New York Inc.
(2013)
ISBN 10 : 1461428378
ISBN 13 : 9781461428374
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Description du livre Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N° de réf. du vendeur C9781461428374
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Statistical Confidentiality : Principles and Practice
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Springer New York
(2013)
ISBN 10 : 1461428378
ISBN 13 : 9781461428374
Neuf
Taschenbuch
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Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, "Just give me the data; I m only going to do good things with it." Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups.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. N° de réf. du vendeur 9781461428374
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Statistical Confidentiality
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Springer New York
(2013)
ISBN 10 : 1461428378
ISBN 13 : 9781461428374
Neuf
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Description du livre Etat : New. N° de réf. du vendeur 4197813
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Statistical Confidentiality : Principles and Practice
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Springer 2013-04
(2013)
ISBN 10 : 1461428378
ISBN 13 : 9781461428374
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