Statistical Confidentiality: Principles and Practice (Statistics for Social and Behavioral Sciences) - Tapa blanda

Libro 21 de 40: Statistics for Social and Behavioral Sciences

Duncan, George T. T.; Elliot, Mark; Juan Jose Salazar, Gonzalez

 
9781461428374: Statistical Confidentiality: Principles and Practice (Statistics for Social and Behavioral Sciences)
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ISBN 10: 1461428378 ISBN 13: 9781461428374
Editorial: Springer, 2013

Sinopsis

This book provides and accessible and coherent treatment of the topic written by three of the worlds' foremost experts. The book is ideal for anyone wishing to understand and apply the ideas of this seemingly complex and multidisciplinary field.

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Acerca del autor

George T. Duncan is Professor of Statistics, Emeritus, Carnegie Mellon University. He chaired the National Academy of Sciences Panel on Confidentiality and Data Access. Mark Elliot is lecturer in social statistics at Manchester University in the UK, consultant to data stewardship organisations worldwide, and inventor of  methods for assessing disclosure risk. J.J. Salazar is Professor of Statistics and Operations Research at University of La Laguna (Tenerife, Spain). He has participated in several EU research projects and his algorithms to protect tabular data. are available through the software τ-ARGUS He has taught courses on data protection for several national statistical offices.

De la contraportada

Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, Just give me the data; I m only going to do good things with it. Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups.The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality. George T. Duncan is Professor of Statistics, Emeritus, Carnegie Mellon University. He chaired the National Academy of Sciences Panel on Confidentiality and Data Access. Mark Elliot is lecturer in social statistics at Manchester University in the UK, consultant to data stewardship organisations worldwide, and inventor of methods for assessing disclosure risk. J.J. Salazar is Professor of Statistics and Operations Research at University of La Laguna (Tenerife, Spain). He has participated in several EU research projects and his algorithms to protect tabular data. are available through the software t-ARGUS He has taught courses on data protection for several national statistical offices.

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Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
1461428378
ISBN 13 
9781461428374
Encuadernación
Tapa blanda
Número de páginas
212
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9781441978011: Statistical Confidentiality: Principles and Practice (Statistics for Social and Behavioral Sciences)

Edición Destacada

ISBN 10:  1441978011 ISBN 13:  9781441978011
Editorial: Springer, 2011
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