Mass imputation for two-phase sampling
dc.contributor.author | Park, Seho | |
dc.contributor.author | Kim, Jae Kwang | |
dc.contributor.department | Department of Statistics (LAS) | |
dc.date | 2019-09-21T12:20:16.000 | |
dc.date.accessioned | 2020-07-02T06:57:29Z | |
dc.date.available | 2020-07-02T06:57:29Z | |
dc.date.copyright | Tue Jan 01 00:00:00 UTC 2019 | |
dc.date.embargo | 2020-04-03 | |
dc.date.issued | 2019-04-03 | |
dc.description.abstract | <p>Two-phase sampling is a cost-effective method of data collection using outcomedependent sampling for the second-phase sample. In order to make efficient use of auxiliary information and to improve domain estimation, mass imputation can be used in two-phase sampling. Rao and Sitter (1995) introduce mass imputation for two-phase sampling and its variance estimation under simple random sampling in both phases. In this paper, we extend the Rao–Sitter method to general sampling design. The proposed method is further extended to mass imputation for categorical data. A limited simulation study is performed to examine the performance of the proposed methods.</p> | |
dc.description.comments | <p>This is a manuscript of an article published as S. Park and J.K. Kim (2019). "Mass imputation for two-phase sampling", <em>Journal of the Korean Statistical Society. doi: </em><a href="https://doi.org/10.1016/j.jkss.2019.03.002" target="_blank" title="Persistent link using digital object identifier">10.1016/j.jkss.2019.03.002</a>. Posted with permission.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/stat_las_pubs/256/ | |
dc.identifier.articleid | 1258 | |
dc.identifier.contextkey | 15137343 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | stat_las_pubs/256 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/90572 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/stat_las_pubs/256/2019_Kim_MassImputationManuscript.pdf|||Fri Jan 14 22:59:00 UTC 2022 | |
dc.source.uri | 10.1016/j.jkss.2019.03.002 | |
dc.subject.disciplines | Categorical Data Analysis | |
dc.subject.disciplines | Statistical Methodology | |
dc.subject.disciplines | Statistical Models | |
dc.subject.keywords | Auxiliary information | |
dc.subject.keywords | Categorical data | |
dc.subject.keywords | Domain estimation | |
dc.subject.keywords | Outcome-dependent sampling | |
dc.title | Mass imputation for two-phase sampling | |
dc.type | article | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | fdf914ae-e48d-4f4e-bfa2-df7a755320f4 | |
relation.isOrgUnitOfPublication | 264904d9-9e66-4169-8e11-034e537ddbca |
File
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- 2019_Kim_MassImputationManuscript.pdf
- Size:
- 353.14 KB
- Format:
- Adobe Portable Document Format
- Description: