JSM 2004 Online Program

Abstract #300641

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Activity Number:	389
Type:	Contributed
Date/Time:	Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #300641
Title:	Jackknife Variance Estimation for Two Samples after Imputation under Two-phase Sampling
Author(s):	Jong-Min Kim*+ and Jon E. Anderson
Companies:	University of Minnesota, Morris and University of Minnesota, Morris
Address:	2380 Science, Morris, MN, 56267,
Keywords:	double sampling ; ratio estimation ; jackknife ; imputation ; stratified sampling
Abstract:	We propose a jackknife variance estimator for the population average from two, two-phase samples after imputation. The jackknife method has long been used to estimate and reduce bias, but has now become a valuable tool for variance estimation. We apply two different sampling methods, (simple random sampling and stratified random sampling) to derive jackknife variance estimators for the two-sample case after imputation under two-phase sampling. We also apply calibration estimation to ratio imputation in stratified random sampling.

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