This book offers a practical advice on improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models, while the second presents case studies in which these techniques are applied.
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.
Schlagwörter zu:
Data Quality and Record Linkage Techniques von Thomas N. Herzog - mit der ISBN: 9780387695051
coding; database; dataquality; editing; imputation; missing data; recordlinkage; A; Data Structures and Information Theory; Statistical Theory and Methods; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Database Management; Data Structures and Information Theory; Database Management; Statistical Theory and Methods; Statistics for Social Sciences, Humanities, Law; Computer Science, Online-Buchhandlung
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