Replication variance estimation under two-phase sampling

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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
Publisher
STATISTICS CANADA
Issue Date
2011-06
Language
English
Article Type
Article
Keywords

UNEQUAL PROBABILITIES; IMPUTATION

Citation

SURVEY METHODOLOGY, v.37, no.1, pp.67 - 74

ISSN
0714-0045
URI
http://hdl.handle.net/10203/213013
Appears in Collection
MA-Journal Papers(저널논문)
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