Data Quality and Record Linkage Techniques

Portada
Springer Science & Business Media, 2007 M05 23 - 234 páginas

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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Contenido

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Página 213 - Practical Data-Oriented Microaggregation for Statistical Disclosure Control. IEEE Transactions on Knowledge and Data Engineering, Vol.
Página 213 - Out of the Crisis (Cambridge: MIT, Center for Advanced Engineering Study, 1986).
Página 2 - Association and a Fellow of both the American Statistical Association and the American Association for the Advancement of Science.

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