Mendeley出力
＜電子ブック＞
Statistical Disclosure Control for Microdata : Methods and Applications in R
| 責任表示 | |
|---|---|
| 著者 | |
| 本文言語 | |
| 出版者 | |
| 出版年 | |
| 出版地 | |
| 概要 | This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods,... disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the data before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.続きを見る |
| 目次 | Preface Software Basic Concepts Disclosure Risk Methods for Data Perturbation Data Utility and Information Loss Synthetic Data Practical Guidelines Case Studies Solutions Index.続きを見る |
| 本文を見る |
Full text available from Springer Mathematics and Statistics eBooks 2017 English/International Full text available from SpringerLink ebooks - Mathematics and Statistics without Lecture Notes (2017) |
詳細
| レコードID | |
|---|---|
| 主題 | |
| SSID | |
| eISBN | |
| 登録日 | 2020.06.27 |
| 更新日 | 2020.06.28 |