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020			_a9780387695051 _99780387695051
024	7		_a10.1007/0387695052 _2doi
035			_avtls000332024
039		9	_a201509030721 _bVLOAD _c201404120631 _dVLOAD _c201404090411 _dVLOAD _y201402041018 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA76.9.D3
100	1		_aHerzog, Thomas N. _eautor _9305351
245	1	0	_aData Quality and Record Linkage Techniques / _cby Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_axiii, 227 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aData 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.
520			_aThis 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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aScheuren, Fritz J. _eautor _9304684
700	1		_aWinkler, William E. _eautor _9305352
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387695020
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-69505-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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