Have a personal or library account? Click to login
Constructing Synthetic Samples Cover
By: Hua Dong and  Glen Meeden  
Open Access
|Mar 2016

References

  1. Drechsler, J. and J. Reiter. 2012. “Combining Synthetic Data with Subsampling to Create Public Use Microdata Files for Large Scale Surveys.” Survey Methodology 38: 73-79.
  2. Fienberg, S., U. Makov and R. Steele. 1998. “Disclosure Limitation Using Perturbation and Related Methods for Categorical Data.” Journal of Official Statistics 14: 485-502.
  3. Hidiroglou, M. and N. Laniel. 2001. “Sampling and Estimation Issues for Annual and Subannual Canadian Business Surveys.” International Statistical Review 69: 487-504. Doi: http://dx.doi.org/10.1111/j.1751-5823.2001.tb00471.x.10.1111/j.1751-5823.2001.tb00471.x
  4. Kadane, J. 2001. “Some Statistical Problems in Merging Datasets.” Journal of Official Statistics 17: 423-433.
  5. Kohnen, C. and J. Reiter. 2009. “Multiple Imputation for Combining Confidential Data Owned by Two Agencies.” Journal of the Royal Statistical Society, Series A 172: 511-528. Doi: http://dx.doi.org/10.1111/j.1467-985X.2008.00574.x.10.1111/j.1467-985X.2008.00574.x
  6. Meeden, G. 2000. “A Decision Theoretic Approach to Imputation in Finite Population Sampling.” Journal of the American Statistical Association 95: 586-595. Doi: http://dx.doi.org/10.1080/01621459.2000.10474234.10.1080/01621459.2000.10474234
  7. Reiter, J. 2002. “Satisfying Disclosure Restrictions with Synthetic Data Sets.” Journal of Official Statistics 18: 531-543.
  8. Reiter, J. 2005. “Releasing Multiply Imputed, Synthetic Public Use Micro-Data: An Illustration and Empirical Study.” Journal of the Royal Statistical Society, Series A 168: 185-205. Doi: http://dx.doi.org/10.1111/j.1467-985X.2004.00343.x.10.1111/j.1467-985X.2004.00343.x
Language: English
Page range: 113 - 127
Submitted on: Jan 1, 2013
|
Accepted on: Nov 1, 2015
|
Published on: Mar 10, 2016
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Hua Dong, Glen Meeden, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.