Statistical confidentiality : principles and practice
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 agen...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
2011.
Cham : Springer Nature |
| Collection: | Statistics for Social and Behavioral Sciences
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| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical Confidentiality, Texte imprimé, 9781461428374 • Statistical Confidentiality, Texte imprimé, 9781441978035 • Statistical confidentiality, principles and practice, George T. Duncan, Mark Elliot, Juan-José Salazar-González, New York, Springer, 2011, 1 vol. (XII-197 p.), Statistics for social and behavioral sciences, 978-1-441-97801-1 |
Table des matières:
- Why statistical confidentiality?- Concepts of statistical disclosure limitation
- Assessment of disclosure risk
- Protecting tabular data
- Providing and protecting microdata
- Disclosure rRisk and data utility
- Restrictions on data access
- Thoughts on the future.