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Add to basketCondition: New. 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. Series: Statistics for Social and Behavioral Sciences. Num Pages: 212 pages, biography. BIC Classification: JHBC. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 11. Weight in Grams: 332. . 2013. 2011th Edition. paperback. . . . .
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Add to basketTaschenbuch. Condition: 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.
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Add to basketBuch. Condition: 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.
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Add to basketCondition: New. 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. Series: Statistics for Social and Behavioral Sciences. Num Pages: 212 pages, biography. BIC Classification: JHBC. Category: (P) Professional & Vocational. Dimension: 239 x 164 x 18. Weight in Grams: 450. . 2011. 2011th Edition. hardcover. . . . .
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Add to basketCondition: New. 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. Series: Statistics for Social and Behavioral Sciences. Num Pages: 212 pages, biography. BIC Classification: JHBC. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 11. Weight in Grams: 332. . 2013. 2011th Edition. paperback. . . . . Books ship from the US and Ireland.
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Add to basketCondition: New. 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. Series: Statistics for Social and Behavioral Sciences. Num Pages: 212 pages, biography. BIC Classification: JHBC. Category: (P) Professional & Vocational. Dimension: 239 x 164 x 18. Weight in Grams: 450. . 2011. 2011th Edition. hardcover. . . . . Books ship from the US and Ireland.
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Published by SPRINGER NATURE Apr 2011, 2011
ISBN 10: 1441978011 ISBN 13: 9781441978011
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: 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. 200 pp. Englisch.
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1441978011 ISBN 13: 9781441978011
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 506.
Published by Springer-Verlag New York Inc., 2013
ISBN 10: 1461428378 ISBN 13: 9781461428374
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 362.