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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - Jörg Drechsler
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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - edizione con copertina flessibile

2011, ISBN: 1461403251

[EAN: 9781461403258], Neubuch, [SC: 0.0], [PU: SPRINGER NATURE], MATHEMATICS; BUSINESS & ECONOMICS / STATISTICS; MATHEMATICS GENERAL; SOCIAL SCIENCE STATISTICS, Druck auf Anfrage Neuware … Altro …

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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - Drechsler, Jörg
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Drechsler, Jörg:

Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - edizione con copertina flessibile

2011, ISBN: 9781461403258

Springer, Taschenbuch, Auflage: 2011, 160 Seiten, Publiziert: 2011-06-29T00:00:01Z, Produktgruppe: Buch, 0.23 kg, Medizin, Kategorien, Bücher, Recht, Soziologie, Sozialwissenschaft, Stati… Altro …

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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - Drechsler, Jörg
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Drechsler, Jörg:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - edizione con copertina flessibile

2011

ISBN: 9781461403258

Springer, Taschenbuch, Auflage: 2011, 160 Seiten, Publiziert: 2011-06-29T00:00:01Z, Produktgruppe: Buch, 0.23 kg, Medizin, Kategorien, Bücher, Recht, Soziologie, Sozialwissenschaft, Stati… Altro …

Costi di spedizione:Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 3.00)
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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - Drechsler, Jörg
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da Amazon.de (Intern. Bücher)
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Drechsler, Jörg:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - edizione con copertina flessibile

2011, ISBN: 9781461403258

Springer, Taschenbuch, Auflage: 2011, 160 Seiten, Publiziert: 2011-06-29T00:00:01Z, Produktgruppe: Buch, 0.52 kg, Medizin, Kategorien, Bücher, Recht, Soziologie, Sozialwissenschaft, Stati… Altro …

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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - Drechsler, Jörg
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da Amazon.de (Intern. Bücher)
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Drechsler, Jörg:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - edizione con copertina flessibile

2011, ISBN: 9781461403258

Springer, Taschenbuch, Auflage: 2011, 160 Seiten, Publiziert: 2011-06-29T00:00:01Z, Produktgruppe: Buch, 0.52 kg, Medizin, Kategorien, Bücher, Recht, Soziologie, Sozialwissenschaft, Stati… Altro …

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Dettagli del libro
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201)

The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal with real data problems like nonresponse, skip patterns, or logical constraints. Each chapter is dedicated to one approach, first describing the general concept followed by a detailed application to a real dataset providing useful guidelines on how to implement the theory in practice. The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, generating partially synthetic datasets, generating synthetic datasets when the original data is subject to nonresponse, and a two-stage imputation approach that helps to better address the omnipresent trade-off between analytical validity and the risk of disclosure. The book concludes with a glimpse into the future of synthetic datasets, discussing the potential benefits and possible obstacles of the approach and ways to address the concerns of data users and their understandable discomfort with using data that doesn't consist only of the originally collected values.  The book is intended for researchers and practitioners alike. It helps the researcher to find the state of the art in synthetic data summarized in one book with full reference to all relevant papers on the topic. But it is also useful for the practitioner at the statistical agency who is considering the synthetic data approach for data dissemination in the future and wants to get familiar with the topic.

Informazioni dettagliate del libro - Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201)


EAN (ISBN-13): 9781461403258
ISBN (ISBN-10): 1461403251
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2011
Editore: Springer
138 Pagine
Peso: 0,252 kg
Lingua: Englisch

Libro nella banca dati dal 2008-11-29T12:20:17+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-11-26T13:31:31+01:00 (Rome)
ISBN/EAN: 9781461403258

ISBN - Stili di scrittura alternativi:
1-4614-0325-1, 978-1-4614-0325-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : drechsler
Titolo del libro: drechsler, statistical disclosure control, datasette


Dati dell'editore

Autore: Jörg Drechsler
Titolo: Lecture Notes in Statistics; Synthetic Datasets for Statistical Disclosure Control - Theory and Implementation
Editore: Springer; Springer US
138 Pagine
Anno di pubblicazione: 2011-06-29
New York; NY; US
Stampato / Fatto in
Peso: 0,454 kg
Lingua: Inglese
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
POD
XX, 138 p. 19 illus.

BC; Statistics for Social Sciences, Humanities, Law; Hardcover, Softcover / Soziologie/Methoden der empirischen und qualitativen Sozialforschung; Sozialforschung und -statistik; Verstehen; confidentiality; disclosure; multiple imputation; synthetic; Statistics for Business, Management, Economics, Finance, Insurance; Statistics for Life Sciences, Medicine, Health Sciences; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Statistics in Business, Management, Economics, Finance, Insurance; Biostatistics; Wahrscheinlichkeitsrechnung und Statistik; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; EA

Introduction.- Background on Multiply Imputed Synthetic Datasets.- Background on Multiple Imputation.- The IAB Establishment Panel.- Multiple Imputation for Nonresponse.- Fully Synthetic Datasets.- Partially Synthetic Datasets.- Multiple Imputation for Nonresponse and Statistical Disclosure Control.- A Two-Stage Imputation Procedure to Balance the Risk-Utility Trade-Off.- Chances and Obstacles for Multiply Imputed Synthetic Datasets.

Jörg Drechsler is a Research Scientist at the German Institute for Employment Research, Department for Statistical Methods. His main areas of research involve statistical disclosure control and imputation with published papers in JASA, Statistica Sinica, JOS, and Survey Methodology.

Is the first book that fully covers all different approaches to generating multiply imputed synthetic datasets

Combination of theory and practical implementation issues makes it appealing to the researcher and the practitioner alike

Obtaining access to real datasets which is already burdensome for researchers will become more and more complicated in the future, due to rising confidentiality concerns. Dissemination strategies, like generating synthetic datasets, which allow the release of data with high analytical validity while guaranteeing the confidentiality of the respondent, are greatly needed

Addresses problems of trying to find ways to benefit society by releasing microdata that simultaneously preserve individuals’ confidential information and yet allow valid inferences at some level of detail

Includes supplementary material: sn.pub/extras



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