© 1995 by Biometrika Trust
MISCELLANEA |
Variance estimation under two-phase sampling with application to imputation for missing data
Department of Mathematics and Statistics, Carleton University Ottawa, Canada K1S 5 B6
Ratio estimation under two-phase simple random sampling is studied. A new linearisation variance estimator that makes more complete use of the sample data than a standard one is proposed. A jackknife variance estimator and its linearised version are also obtained. Unconditional and conditional repeated sampling properties of these variance estimators are studied through simulation. Applications to mass imputation under two-phase sampling and deterministic imputation for missing data are also given.
Key Words: Jackknife variance estimation Linearisation variance estimation Mass imputation Ratio imputation Uniform response