Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling
| dc.contributor.author | Klein, Martin | |
| dc.contributor.author | Moura, Ricardo | |
| dc.contributor.author | Sinha, Bimal | |
| dc.date.accessioned | 2019-10-03T13:55:04Z | |
| dc.date.available | 2019-10-03T13:55:04Z | |
| dc.date.issued | 2019-05-07 | |
| dc.description.abstract | In this paper we consider singly imputed synthetic data generated via plug-in sampling under the multivariate normal model. Based on the observed synthetic dataset, we derive a statistical test for the generalized variance, the sphericity test, a test for independence between two subsets of variables, and a test for the regression of one set of variables on the other. The procedures are based on finite sample theory. Some simulation studies are presented which confirm that the proposed procedures perform as expected | en_US |
| dc.description.uri | https://www.census.gov/srd/papers/pdf/RRS2019-06.pdf | en_US |
| dc.format.extent | 21 pages | en_US |
| dc.genre | reports | en_US |
| dc.identifier | doi:10.13016/m2mpf9-xtpq | |
| dc.identifier.citation | Martin Klein, Ricardo Moura, Bimal Sinha, Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling, Research Report Series, https://www.census.gov/srd/papers/pdf/RRS2019-06.pdf | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/14965 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Mathematics Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | This is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law." in either case, put on a public domain creative commons license. | * |
| dc.rights | Public Domain Mark 1.0 | |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.subject | Multivariate normal | en_US |
| dc.subject | Pivotal quantity | en_US |
| dc.subject | Plug-in sampling | en_US |
| dc.subject | Statistical disclosure control | en_US |
| dc.subject | Tests for covariance structure | en_US |
| dc.title | Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling | en_US |
| dc.type | Text | en_US |