Campus Units
Statistics
Document Type
Article
Publication Version
Published Version
Publication Date
6-2011
Journal or Book Title
Survey Methodology
Volume
37
Issue
1
First Page
67
Last Page
74
Abstract
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample based on the information observed in the first-phase sample. We develop a replication-based bias adjusted variance estimator that extends the method of Kim, Navarro and Fuller (2006). The proposed method is also applicable when the first-phase sampling rate is not negligible and when second-phase sample selection is unequal probability Poisson sampling within each stratum. The proposed method can be extended to variance estimation for two-phase regression estimators. Results from a limited simulation study are presented.
Rights
Source: Statistics Canada; Survey Methodology; June, 2011. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.
Copyright Owner
Minister of Industry
Copyright Date
2011
Language
en
File Format
application/pdf
Recommended Citation
Kim, Jae Kwang and Yu, Cindy Long, "Replication variance estimation under two-phase sampling" (2011). Statistics Publications. 104.
https://lib.dr.iastate.edu/stat_las_pubs/104
Comments
This article is published as Kim, Jae Kwang, and Cindy Long Yu. "Replication variance estimation under two-phase sampling." Survey Methodology 37, no. 37 (2011): 67-74. Posted with permission.