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Description du livre Etat : New. N° de réf. du vendeur 26375123472
Description du livre Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT23-369257
Description du livre Hardcover. Etat : new. N° de réf. du vendeur 9783319502700
Description du livre Etat : New. N° de réf. du vendeur 372003279
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar3113020099026
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Description du livre Buch. Etat : 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. N° de réf. du vendeur 9783319502700
Description du livre Buch. Etat : 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. N° de réf. du vendeur 9783319502700
Description du livre Etat : 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. N° de réf. du vendeur 132284974
Description du livre Hardcover. Etat : new. New Copy. Customer Service Guaranteed. N° de réf. du vendeur think3319502700