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Titlebook: Elements of Statistical Disclosure Control; Leon Willenborg,Ton Waal Book 2001 Springer Science+Business Media New York 2001 Variance.codi

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發(fā)表于 2025-3-21 18:18:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Elements of Statistical Disclosure Control
編輯Leon Willenborg,Ton Waal
視頻videohttp://file.papertrans.cn/308/307644/307644.mp4
叢書名稱Lecture Notes in Statistics
圖書封面Titlebook: Elements of Statistical Disclosure Control;  Leon Willenborg,Ton Waal Book 2001 Springer Science+Business Media New York 2001 Variance.codi
描述Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area. It deals with both microdata (individual data) and tabular (aggregated) data. The book attempts to develop the theory from what can be called the paradigm of statistical confidentiality: to modify unsafe data in such a way that safe (enough) data emerge, with minimum information loss. This book discusses what safe data, are, how information loss can be measured, and how to modify the data in a (near) optimal way. Once it has been decided how to measure safety and information loss, the production of safe data from unsafe data is often a matter of solving an optimization problem. Several such problems are discussed in the book, and most of them turn out to be hard problems that can be solved only approximately. The authors present new results that have not been published before. The book is not a description of an area that is closed, but, on the contrary, one that still has many spots awaiting to be more fully explored. Some of these are indicated in the book. The book will be u
出版日期Book 2001
關鍵詞Variance; coding; linear optimization; operations research; optimization; statistical method
版次1
doihttps://doi.org/10.1007/978-1-4613-0121-9
isbn_softcover978-0-387-95121-8
isbn_ebook978-1-4613-0121-9Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:51:43 | 只看該作者
Joan Marques,Satinder Dhiman,Jerry Biberman to one of these statistical products may, through inappropriate use of the data, be able to disclose confidential information about the individual units which originally provided the data. These units might, for example, be respondents to a survey or persons completing forms for administrative purposes.
板凳
發(fā)表于 2025-3-22 02:01:43 | 只看該作者
https://doi.org/10.1007/978-3-642-56614-1or they may be analytic parameters, such as the coefficients of a regression model. We consider the impact of SDC techniques on the estimation of these parameters and, specifically, the impact of the SDC techniques discussed in Chapter 1.
地板
發(fā)表于 2025-3-22 05:53:30 | 只看該作者
Mohammed Shakaib,George L. Bakriss it is the more basic one. Increasingly, however, attention is being paid to the hierarchical and linked table case. Since this generalization has not been settled at the time of writing we do not dwell very extensively on this subject.
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發(fā)表于 2025-3-22 10:28:22 | 只看該作者
Overview of the Area, to one of these statistical products may, through inappropriate use of the data, be able to disclose confidential information about the individual units which originally provided the data. These units might, for example, be respondents to a survey or persons completing forms for administrative purposes.
6#
發(fā)表于 2025-3-22 15:36:31 | 只看該作者
Data Analytic Impact of SDC Techniques on Microdata,or they may be analytic parameters, such as the coefficients of a regression model. We consider the impact of SDC techniques on the estimation of these parameters and, specifically, the impact of the SDC techniques discussed in Chapter 1.
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發(fā)表于 2025-3-22 20:52:22 | 只看該作者
8#
發(fā)表于 2025-3-22 23:31:19 | 只看該作者
0930-0325 researchers. This book concentrates on the methodology of the area. It deals with both microdata (individual data) and tabular (aggregated) data. The book attempts to develop the theory from what can be called the paradigm of statistical confidentiality: to modify unsafe data in such a way that safe
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發(fā)表于 2025-3-23 02:05:33 | 只看該作者
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