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Constructing Synthetic Samples

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10 mars 2016
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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.Search in Google Scholar

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.Search in Google Scholar

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.xSearch in Google Scholar

Kadane, J. 2001. “Some Statistical Problems in Merging Datasets.” Journal of Official Statistics 17: 423-433.Search in Google Scholar

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.xSearch in Google Scholar

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/10.1080/01621459.2000.10474234.10.1080/01621459.2000.10474234Search in Google Scholar

Reiter, J. 2002. “Satisfying Disclosure Restrictions with Synthetic Data Sets.” Journal of Official Statistics 18: 531-543.Search in Google Scholar

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.xSearch in Google Scholar

Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Mathématiques, Probabilité et statistiques