Statistical Disclosure Control in Practice

Statistical Disclosure Control in Practice
Author: Leon Willenborg
Publisher: Springer Science & Business Media
Total Pages: 164
Release: 2012-12-06
Genre: Mathematics
ISBN: 146124028X


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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 sufficient protection for the individuals or businesses to whom the data refer. The major part of this book is concerned with how to define the disclosure problem and how to deal with it in practical circumstances.


Statistical Disclosure Control in Practice
Language: en
Pages: 164
Authors: Leon Willenborg
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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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 admin
Statistical Disclosure Control in Practice
Language: en
Pages: 172
Authors: Leon Willenborg
Categories:
Type: BOOK - Published: 2014-09-01 - Publisher:

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Statistical Confidentiality
Language: en
Pages: 205
Authors: George T. Duncan
Categories: Social Science
Type: BOOK - Published: 2011-03-22 - Publisher: Springer Science & Business Media

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Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working
Statistical Disclosure Control
Language: en
Pages: 308
Authors: Anco Hundepool
Categories: Mathematics
Type: BOOK - Published: 2012-07-05 - Publisher: John Wiley & Sons

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A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to
Synthetic Datasets for Statistical Disclosure Control
Language: en
Pages: 148
Authors: Jörg Drechsler
Categories: Social Science
Type: BOOK - Published: 2011-06-24 - Publisher: Springer Science & Business Media

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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 a