The Resource Data quality and record linkage techniques, Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler, (electronic resource)

Data quality and record linkage techniques, Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler, (electronic resource)

Label
Data quality and record linkage techniques
Title
Data quality and record linkage techniques
Statement of responsibility
Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler
Creator
Contributor
Provider
Subject
Genre
Language
eng
Summary
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. Thomas N. Herzog, Ph.D., ASA is the Chief Actuary at the U.S. Department of Housing and Urban Development. He holds a Ph.D. in mathematics from the University of Maryland and is also an Associate of the Society of Actuaries. He is the author or co-author of books on Credibility Theory, Monte Carlo Methods, and Models for Quantifying Risk. Fritz J. Scheuren, Ph.D., is a Vice President for Statistics with the National Opinion Research Center at the University of Chicago. He has a Ph.D. in statistics from the George Washington University. He is much published with over 300 papers and monographs. He is the 100th President of the American Statistical Association and a Fellow of both the American Statistical Association and the American Association for the Advancement of Science. William E. Winkler, Ph.D., is Principal Researcher at the U.S. Census Bureau. He holds a Ph.D. in probability theory from Ohio State University and is a Fellow of the American Statistical Association. He has more than 130 papers in areas such as automated record linkage and data quality. He is the author or co-author of eight generalized software systems, some of which are used for production in the largest survey and administrative-list situations
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1946-
http://library.link/vocab/creatorName
Herzog, Thomas N.
Image bit depth
0
LC call number
QA76.9.E94
LC item number
H47 2007eb
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Scheuren, Fritz
  • Winkler, William E
http://library.link/vocab/subjectName
  • Electronic data processing
  • Computer Science
  • COMPUTERS
  • Informatique
  • Electronic data processing
  • Gegevens
  • Kwaliteit
  • Electronic books
  • Electronic data processing
Label
Data quality and record linkage techniques, Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xiii, 227 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9780387695020
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
Stock number
978-0-387-69502-0
System control number
  • (OCoLC)187019022
  • (OCoLC)ocn187019022
Label
Data quality and record linkage techniques, Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xiii, 227 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9780387695020
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
Stock number
978-0-387-69502-0
System control number
  • (OCoLC)187019022
  • (OCoLC)ocn187019022

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