<p>The aim of this book is to discuss various aspects associated with disseminating personal or business data collected in censuses or surveys or copied from administrative sources. The problem is to present the data in such a form that they are useful for statistical research and to provide suffici
Statistical Disclosure Control
β Scribed by Anco Hundepool, Josep Domingo?Ferrer, Luisa Franconi, Sarah Giessing, Eric Schulte Nordholt, Keith Spicer, Peter?Paul de Wolf(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)
- Year
- 2012
- Tongue
- English
- Leaves
- 299
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
A reference to answer all your statistical confidentiality questions.
This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents. Statistical disclosure control is combined with other tools such as administrative, legal and IT in order to define a proper data dissemination strategy based on a risk management approach.
The key concepts of statistical disclosure control are presented, along with the methodology and software that can be used to apply various methods of statistical disclosure control. Numerous examples and guidelines are also featured to illustrate the topics covered.
Statistical Disclosure Control:
- Presents a combination of both theoretical and practical solutions
- Introduces all the key concepts and definitions involved with statistical disclosure control.
- Provides a high level overview of how to approach problems associated with confidentiality.
- Provides a broad-ranging review of the methods available to control disclosure.
- Explains the subtleties of group disclosure control.
- Features examples throughout the book along with case studies demonstrating how particular methods are used.
- Discusses microdata, magnitude and frequency tabular data, and remote access issues.
- Written by experts within leading National Statistical Institutes.
Official statisticians, academics and market researchers who need to be informed and make decisions on disclosure limitation will benefit from this book.Β
Content:
Chapter 1 Introduction (pages 1β9):
Chapter 2 Ethics, Principles, Guidelines and RegulationsβA General Background (pages 10β22):
Chapter 3 Microdata (pages 23β130):
Chapter 4 Magnitude Tabular Data (pages 131β182):
Chapter 5 Frequency Tables (pages 183β207):
Chapter 6 Data Access Issues (pages 208β242):
π SIMILAR VOLUMES
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<p><p>The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal w
<p><p>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. In
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