Statistical Disclosure Control Microdata by Templ Matthias (26 results)

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    • Language: English

      Published by Cham, Springer., 2017

      3319502700 / 9783319502700

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      XIX, 287 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

    • Language: English

      Published by Springer, 2018

      3319843621 / 9783319843629

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

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    • Language: English

      Published by Springer 2018-07-28, 2018

      3319843621 / 9783319843629

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

      • Hardcover

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

      • Hardcover

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    • Language: English

      Published by Springer, 2018

      3319843621 / 9783319843629

      • Softcover

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      Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.

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      Language: English

      Published by Springer, 2018

      3319843621 / 9783319843629

      • Softcover

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      Taschenbuch. Condition: Neu. Statistical Disclosure Control for Microdata | Methods and Applications in R | Matthias Templ | Taschenbuch | xix | Englisch | 2018 | Springer | EAN 9783319843629 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Language: English

      Published by Springer Verlag, 2017

      3319502700 / 9783319502700

      • Hardcover

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      Hardcover. Condition: Brand New. 287 pages. 9.25x6.25x0.75 inches. In Stock.

    • Language: English

      Published by Springer, 2018

      3319843621 / 9783319843629

      • Softcover

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      Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

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      Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.

    • Language: English

      Published by Springer, 2018

      3319843621 / 9783319843629

      • Softcover
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    • Language: English

      Published by Springer, 2017

      3319502700 / 9783319502700

      • Hardcover
      • Print on Demand

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    • Language: English

      Published by Springer International Publishing Jul 2018, 2018

      3319843621 / 9783319843629

      • Softcover
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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences. 308 pp. Englisch.

    • Language: English

      Published by Springer, 2018

      3319843621 / 9783319843629

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      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    • Language: English

      Published by Springer International Publishing, 2018

      3319843621 / 9783319843629

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the theory, applications and software implementation of statistical disclosure control methods and synthetic data generationFeatures numerous examples, exercises with solutions, and case studies with real data setsProvides t.

    • Language: English

      Published by Springer International Publishing Mai 2017, 2017

      3319502700 / 9783319502700

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      Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences. 308 pp. Englisch.

    • Language: English

      Published by Springer, Springer Jul 2018, 2018

      3319843621 / 9783319843629

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results.The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release.This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.

    • Language: English

      Published by Springer International Publishing, 2017

      3319502700 / 9783319502700

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      Seller: moluna, Greven, Germanymoluna

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      Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the theory, applications and software implementation of statistical disclosure control methods and synthetic data generationFeatures numerous examples, exercises with solutions, and case studies with real data setsProvides t.

    • Language: English

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      3319502700 / 9783319502700

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    • Language: English

      Published by Springer, Springer Mai 2017, 2017

      3319502700 / 9783319502700

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      Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results.The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release.This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.