Article
Mass imputation for two-phase sampling
Journal of the Korean Statistical Society
Document Type
Article
Disciplines
Publication Version
Accepted Manuscript
Publication Date
4-3-2019
DOI
10.1016/j.jkss.2019.03.002
Abstract
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.
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Copyright Owner
The Korean Statistical Society
Copyright Date
2019
Language
en
File Format
application/pdf
Citation Information
Seho Park and Jae Kwang Kim. "Mass imputation for two-phase sampling" Journal of the Korean Statistical Society (2019) Available at: http://works.bepress.com/jae-kwang-kim/48/
This is a manuscript of an article published as S. Park and J.K. Kim (2019). "Mass imputation for two-phase sampling", Journal of the Korean Statistical Society. doi: 10.1016/j.jkss.2019.03.002. Posted with permission.