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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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