Data Quality and Record Linkage Techniques

Springer Science & Business Media
Free sample

This book offers a practical understanding of issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models, focusing on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. The second part presents case studies in which these techniques are applied in a variety of areas, including mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists. This book offers a mixture of practical advice, mathematical rigor, management insight and philosophy.
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Additional Information

Publisher
Springer Science & Business Media
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Published on
May 23, 2007
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Pages
234
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ISBN
9780387695051
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Language
English
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Genres
Computers / Databases / General
Computers / Information Technology
Computers / Information Theory
Computers / Programming / Algorithms
Mathematics / Probability & Statistics / General
Social Science / Research
Social Science / Statistics
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Content protection
This content is DRM protected.
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