Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - edizione con copertina flessibile
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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - edizione con copertina flessibile
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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) - 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) - 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 - 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 …
Drechsler, Jörg:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics, Band 201) - edizione con copertina flessibile2011, 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 …
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 …
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 …
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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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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