Buch, Englisch, 234 Seiten, Format (B × H): 154 mm x 236 mm, Gewicht: 354 g
Buch, Englisch, 234 Seiten, Format (B × H): 154 mm x 236 mm, Gewicht: 354 g
ISBN: 978-0-387-69502-0
Verlag: Springer
This book helps practitioners gain a working 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. Brief examples are included to show how these techniques work. The second part of the book presents real-world case studies in which one or more of these techniques are applied. These cover a wide variety of application areas, including mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists. The authors also discuss software that has been developed to apply the techniques described here.
Readers will find in this book a mixture of practical advice, mathematical rigor, management insight and philosophy.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Data Quality: What It is, Why It is Important, and How to Achieve It.- What is Data Quality and Why Should We Care?.- Examples of Entities Using Data\break to their Advantage/Disadvantage.- Properties of Data Quality and Metrics for Measuring It.- Basic Data Quality Tools.- Specialized Tools for Database Improvement.- Mathematical Preliminaries for Specialized Data Quality Techniques.- Automatic Editing and Imputation of Sample Survey Data.- Record Linkage – Methodology.- Estimating the Parameters of the Fellegi–Sunter Record Linkage Model.- Standardization and Parsing.- Phonetic Coding Systems for Names.- Blocking.- String Comparator Metrics for Typographical Error.- Record Linkage Case Studies.- Duplicate FHA Single-Family Mortgage Records.- Record Linkage Case Studies in the Medical, Biomedical, and Highway Safety Areas.- Constructing List Frames and Administrative Lists.- Social Security and Related Topics.- Other Topics.- Confidentiality: Maximizing Access to Micro-data while Protecting Privacy.- Review of Record Linkage Software.- Summary Chapter.
