Data Quality and Record Linkage Techniques

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Data Quality and Record Linkage Techniques
Thomas N. Herzog, Fritz J. Sch ...
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Last edited by ImportBot
January 27, 2022 | History

Data Quality and Record Linkage Techniques

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This book helps practitioners gain a deeper understanding, at an applied level, of the issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models. Here, we focus on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. Brief examples are included to show how these techniques work.

In the second part of the book, the authors present real-world case studies in which one or more of these techniques are used. They cover a wide variety of application areas. These include mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists.

Readers will find this book a mixture of practical advice, mathematical rigor, management insight and philosophy. The long list of references at the end of the book enables readers to delve more deeply into the subjects discussed here. The authors also discuss the software that has been developed to apply the techniques described in our text.

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Language
English

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Edition Availability
Cover of: Data Quality and Record Linkage Techniques
Data Quality and Record Linkage Techniques
2007, Springer London, Limited
in English
Cover of: Data Quality and Record Linkage Techniques
Data Quality and Record Linkage Techniques
May 15, 2007, Springer
in English

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Book Details


Classifications

Library of Congress
QA75.5-76.95

The Physical Object

Pagination
xiv, 234

ID Numbers

Open Library
OL36700135M
ISBN 13
9780387695051

Source records

Better World Books record

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January 27, 2022 Created by ImportBot Imported from Better World Books record