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.

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.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

The Korean Statistical Society

Language

en

File Format

application/pdf

Available for download on Friday, April 03, 2020

Published Version

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