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

ISBN: 1461403251

[SR: 1023910], Paperback, [EAN: 9781461403258], Springer, Springer, Book, [PU: Springer], Springer, 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.<, 2586, Econometrics, 2581, Economics, 3, Business & Money, 1000, Subjects, 283155, Books, 10020691011, Statistics, 2732, Education & Reference, 3, Business & Money, 1000, Subjects, 283155, Books, 227277, Biostatistics, 226688, Biology, 13469, Biological Sciences, 75, Science & Math, 1000, Subjects, 283155, Books, 52161011, Statistics, 226699, Applied, 13884, Mathematics, 75, Science & Math, 1000, Subjects, 283155, Books, 3377866011, Politics & Social Sciences, 11233, Anthropology, 11242, Archaeology, 11019, Philosophy, 5571255011, Politics & Government, 11232, Social Sciences, 11288, Sociology, 11325, Women's Studies, 1000, Subjects, 283155, Books, 491584, Economics, 491586, Economic Theory, 491590, Macroeconomics, 491592, Microeconomics, 468220, Business & Finance, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491532, Reference, 689815011, Atlases, 689816011, Dictionaries & Terminology, 689817011, Drug Guides, 689818011, Instruments & Supplies, 468228, Medicine & Health Sciences, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 689820011, Biostatistics, 689819011, Research, 468228, Medicine & Health Sciences, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 468214, Social Sciences, 491448, Anthropology, 491450, Archaeology, 491452, Criminology, 491460, Gay & Lesbian Studies, 491458, Gender Studies, 491454, Geography, 684299011, Military Sciences, 491464, Political Science, 491490, Psychology, 491478, Sociology, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - JÃ rg Drechsler
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JÃ rg Drechsler:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - Paperback

ISBN: 1461403251

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[EAN: 9781461403258], Neubuch, [PU: Springer], JÃ RG DRECHSLER,SOCIAL SCIENCES,ECONOMETRICS,BIOSTATISTICS,ECONOMICS,REFERENCE, 138 pages. Dimensions: 9.1in. x 6.1in. x 0.5in.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 doesnt 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.

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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - Drechsler, Jörg
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Drechsler, Jörg:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation - Paperback

2011, ISBN: 9781461403258

[ED: Softcover], [PU: Springer, Berlin], 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. 2011. xx, 138 S. 19 SW-Abb., 23 Tabellen. 235 mm Versandfertig in 2-4 Wochen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, offene Rechnung (Vorkasse vorbehalten)

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Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Paperback) - Jörg Drechsler
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Jörg Drechsler:
Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Paperback) - Paperback

2011, ISBN: 1461403251

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[EAN: 9781461403258], Neubuch, [PU: Springer-Verlag New York Inc., United States], Language: English . Brand New Book ***** Print on Demand *****. 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.

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Synthetic Datasets for Statistical Disclosure Control - Jorg Drechsler
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Synthetic Datasets for Statistical Disclosure Control - new book

2011, ISBN: 1461403251

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[EAN: 9781461403258], Neubuch, [PU: Springer-Verlag New York Inc.], New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Details of the book
Synthetic Datasets for Statistical Disclosure Control

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.

Details of the book - Synthetic Datasets for Statistical Disclosure Control


EAN (ISBN-13): 9781461403258
ISBN (ISBN-10): 1461403251
Hardcover
Paperback
Publishing year: 2011
Publisher: Springer-Verlag GmbH
138 Pages
Weight: 0,252 kg
Language: Englisch

Book in our database since 29.11.2008 12:20:17
Book found last time on 17.07.2018 16:53:14
ISBN/EAN: 9781461403258

ISBN - alternate spelling:
1-4614-0325-1, 978-1-4614-0325-8


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