Last edited by Akinokus
Tuesday, August 4, 2020 | History

3 edition of Statistical disclosure control found in the catalog.

Statistical disclosure control

Anco Hundepool

Statistical disclosure control

by Anco Hundepool

  • 95 Want to read
  • 17 Currently reading

Published by John Wiley & Sons Inc. in Chichester, West Sussex, United Kingdom .
Written in English

    Subjects:
  • MATHEMATICS / Probability & Statistics / General,
  • Confidential communications,
  • Statistical services

  • Edition Notes

    Includes bibliographical references and index.

    StatementAnco Hundepool [and six others]
    SeriesWiley series in survey methodology
    Classifications
    LC ClassificationsHA34 .H86 2012
    The Physical Object
    Paginationpages cm.
    ID Numbers
    Open LibraryOL25299765M
    ISBN 109781119978152
    LC Control Number2012015785

    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. Examples will also be used to illustrate methods described in the book. 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. 1 Introduction to Statistical Disclosure Control.- Introduction.- The increasing importance of SDC.- The Problems.- Microdata.- Tables.- 2.

    From Theory to Practice. Author: Josep Domingo-Ferrer. Publisher: Springer ISBN: Page: View: DOWNLOAD NOW» Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical. This handbook was issued in by the ESSnet on Statistical Disclosure Control. Document data sheet. Related content: ‹ Guidelines on output checking up Data decryption software.

    Get this from a library! Statistical disclosure control in practice. [L C R J Willenborg; Ton de Waal] -- 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. Statistical disclosure control in practice. [L C R J Willenborg; Ton de Waal] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search 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.


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Statistical disclosure control by Anco Hundepool Download PDF EPUB FB2

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 by:   Census Bureau sponsored book on Confidentiality: "Confidentiality, Disclosure and Data Access, Theory and Practical Applications for Statistical Agencies" Sections of this book can be viewed and/or printed: Chapter 1: Introduction [PDF k] Annotated bibliography of some papers in SDC [PDF k] (excerpted from chapter by Abowd and Woodcock).

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.

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 : Springer International Publishing.

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.

statistical disclosure control (SDC) methods to data before release. This guide, Introduction to Statistical Disclosure Control (SDC), discusses common SDC methods for microdata obtained from sample surveys, censuses and administrative sources.

How to Use This Guide This guide is intended for statistical producers atFile Size: KB. Statistical disclosure control (SDC), also known as statistical disclosure limitation (SDL) or disclosure avoidance, is a technique used in data-driven research to ensure no person or organization is identifiable from the results of an analysis of survey or administrative data, or in the release of purpose of SDC is to protect the confidentiality of the respondents and subjects.

Technical Guide to Statistical Disclosure Control 3 Introduction This guide is concerned primarily with protecting the confidentiality of data released as tables of statistical outputs.

Protecting outputs is achieved through the use of various procedures known collectively as statistical disclosure control (SDC). The principles. Statistical Disclosure Control forOutputs July Version Produced bythe Safe Data Access Professionals Working Group.

2 Handbook onStatistical Disclosure Controlfor Outputs The authors wish to thank the following individualsfor their guidance and support, and for reviewingthis document. Jörg Drechsler is a Research Scientist at the German Institute for Employment Research, Department for Statistical Methods.

His main areas of research involve statistical disclosure control and imputation with published papers in JASA, Statistica Sinica, JOS, and Survey : Springer-Verlag New York. 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. Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area.

It deals with both microdata (individual data) and tabular (aggregated) data. The book. Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area.

It deals with both microdata (individual data) and tabular (aggregated) data. 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. Synthetic Datasets for Statistical Disclosure Control Theory and Implementation imputation approach that helps to better address the omnipresent trade-off between analytical validity and the risk of disclosure.

The book concludes with a glimpse into the future of synthetic datasets, discussing the potential benefits and possible obstacles. Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics) th Edition by Jörg Drechsler (Author) › Visit Amazon's Jörg Drechsler Page.

Find all the books, read about the author, and more. See search Cited by: Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area.

It deals with both microdata (individual data) and tabular (aggregated) data. The book attempts to develop the theory from what can be Cited by: 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.

Statistical disclosure control is the application of methods to reduce the risk of disclosive information about data subjects. Disclosure control is necessary when presenting any statistical.

This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation Author: Matthias Templ.

ISBN: OCLC Number: Notes: Machine generated contents note: Preface vii Acknowledgements ix 1 Introduction 1 Concepts and Definitions 2 Disclosure 2 Statistical disclosure control 2 Tabular data 3 Microdata 3 Risk and utility 4 An approach to Statistical Disclosure Control 6 The chapters of the handbook 8 2 Ethics.Statistical Disclosure Control (SDC) is the term used to cover the many methods of safeguarding the confidentiality of the information held by the GSS about individuals and businesses.

Information obtained from surveys or administrative data is usually given in confidence. SDC is applied to ensure that individuals, businesses or other.New in-house course: Statistical Disclosure Control with R J New year, new website Janu The “Big Data Analytics with R” book is out Aug