Campus Units
Statistics
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
4-3-2019
Journal or Book Title
Journal of the Korean Statistical Society
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
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Copyright Owner
The Korean Statistical Society
Copyright Date
2019
Language
en
File Format
application/pdf
Recommended Citation
Park, Seho and Kim, Jae Kwang, "Mass imputation for two-phase sampling" (2019). Statistics Publications. 256.
https://lib.dr.iastate.edu/stat_las_pubs/256
Included in
Categorical Data Analysis Commons, Statistical Methodology Commons, Statistical Models Commons
Comments
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.