Journal or Book Title
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.
Source: Statistics Canada; Survey Methodology; June, 2011. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.
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Kim, Jae Kwang and Yu, Cindy Long, "Replication variance estimation under two-phase sampling" (2011). Statistics Publications. 104.