Synthetic Datasets for Statistical Disclosure Control Theory and Implementation /
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 re...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2011.
|
| Έκδοση: | 1. |
| Σειρά: | Lecture Notes in Statistics,
201 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
