Statistical Disclosure Control for Microdata

Download or Read online Statistical Disclosure Control for Microdata full in PDF, ePub and kindle. This book written by Matthias Templ and published by Springer which was released on 05 May 2017 with total pages 287. We cannot guarantee that Statistical Disclosure Control for Microdata book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Statistical Disclosure Control for Microdata
Author :
Publisher : Springer
Release Date :
ISBN : 9783319502724
Pages : 287 pages
Rating : /5 ( users)
GET BOOK!

Download or Read Online Statistical Disclosure Control for Microdata in PDF, Epub and Kindle

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 simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.

Statistical Disclosure Control for Microdata

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 simPop, the book also features

GET BOOK!
Statistical Disclosure Control

A reference to answer all your statistical confidentialityquestions. This handbook provides technical guidance on statisticaldisclosure control and on how to approach the problem of balancingthe need to provide users with statistical outputs and the need toprotect the confidentiality of respondents. Statistical disclosurecontrol is combined with other tools such as administrative,

GET BOOK!
Elements of Statistical Disclosure Control

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

GET BOOK!
Statistical Disclosure Control in Practice

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

GET BOOK!
Synthetic Datasets for Statistical Disclosure Control

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 with real

GET BOOK!
Inference Control in Statistical Databases

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 obligation to protect privacy of individuals and enterprises which are the source of data for

GET BOOK!
A View on Statistical Disclosure Control for Microdata

Download or read online A View on Statistical Disclosure Control for Microdata written by A. G. de Waal,Leon Willenborg, published by Unknown which was released on 1996. Get A View on Statistical Disclosure Control for Microdata Books now! Available in PDF, ePub and Kindle.

GET BOOK!
A View on Statistical Disclosure Control for Microdata

Download or read online A View on Statistical Disclosure Control for Microdata written by Anthonie Gerardus Waal, published by Unknown which was released on 1996. Get A View on Statistical Disclosure Control for Microdata Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Statistical Confidentiality

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 agency holding statistical data does not respond well to the

GET BOOK!
Secure Data Management in Decentralized Systems

The field of database security has expanded greatly, with the rapid development of global inter-networked infrastructure. Databases are no longer stand-alone systems accessible only to internal users of organizations. Today, businesses must allow selective access from different security domains. New data services emerge every day, bringing complex challenges to those

GET BOOK!
Privacy in Statistical Databases

Privacy in statistical databases is about ?nding tradeo?s to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises, which are the source of the statistical data. Statistical agencies cannot expect to collect

GET BOOK!
Statistical Disclosure Control for Public Use Microdata File

Statistics Canada has been producing Public Use Microdata Files (PUMFs) from survey master files since the 1980s. Two key features in the production of PUMFs are the assessment of risks of disclosure at the unit and datafile levels and the implementation of measures to bring this risk to an acceptable

GET BOOK!
Big Data Analytics with R

Utilize R to uncover hidden patterns in your Big Data About This Book Perform computational analyses on Big Data to generate meaningful results Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming, and

GET BOOK!
Data Driven Policy Impact Evaluation

In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation

GET BOOK!
Manual on Disclosure Control Methods

Download or read online Manual on Disclosure Control Methods written by Barbara Helmpecht,Daniela Schackis, published by Unknown which was released on 1996-01-01. Get Manual on Disclosure Control Methods Books now! Available in PDF, ePub and Kindle.

GET BOOK!