Fr. 130.00

Statistical Disclosure Control

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Informationen zum Autor Anco Hundepool, Statistics Netherlands, The Netherlands. Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain. Luisa Franconi, Head of Unit on Statistical Disclosure Control Methods, ISTAT, Italy. Sarah Giessing, Federal Statistical Office of Germany, Germany. Keith Spicer, Office for National Statistics, Portsmouth, UK. Eric Schulte Nordholt, Senior researcher and project leader at Statistics, The Netherlands. Peter-Paul De Wolf, Methodologist at National Institute of Statistics, The Netherlands. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis Preface xi Acknowledgements xv 1 Introduction 1 1.1 Concepts and definitions 2 1.1.1 Disclosure 2 1.1.2 Statistical disclosure control 3 1.1.3 Tabular data 3 1.1.4 Microdata 3 1.1.5 Risk and utility 4 1.2 An approach to Statistical Disclosure Control 7 1.2.1 Why is confidentiality protection needed? 7 1.2.2 What are the key characteristics and uses of the data? 8 1.2.3 What disclosure risks need to be protected against? 8 1.2.4 Disclosure control methods 8 1.2.5 Implementation 9 1.3 The chapters of the handbook 9 2 Ethics, principles, guidelines and regulations - a general background 10 2.1 Introduction 10 2.2 Ethical codes and the new ISI code 11 2.2.1 ISI Declaration on Professional Ethics 11 2.2.2 New ISI Declaration on Professional Ethics 12 2.2.3 European Statistics Code of Practice 15 2.3 UNECE principles and guidelines 16 2.3.1 UNECE Principles and Guidelines on Confidentiality Aspects of Data Integration 18 2.3.2 Future activities on the UNECE principles and guidelines 19 2.4 Laws 19 2.4.1 Committee on Statistical Confidentiality 20 2.4.2 European Statistical System Committee 20 3 Microdata 23 3.1 Introduction 23 3.2 Microdata concepts 24 3.2.1 Stage 1: Assess need f...

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.