Improved estimators of variance of the regression estimator in two-phase sampling

Sarjinder Singh Co-Author
Texas A&M University-Kingsville
 
Lane Christiansen First Author
 
Lane Christiansen Presenting Author
 
Tuesday, Aug 6: 10:50 AM - 11:05 AM
2489 
Contributed Papers 
Oregon Convention Center 
In this paper, a few interesting estimators for estimating the variance of the regression estimator in two phase sampling have been considered. An improved Jackknife technique for estimating the variance of the regression estimator in two-phase sampling has been suggested. The jackknife estimator proposed by Sitter (1997: Journal of the American Statistical Association, pp. 780-787) has been shown to be a special case of the proposed strategy. Improved strategies are based on the estimation techniques suggested by Isaki (1983: Journal of the American Statistical Association, pp. 117-123) for estimating the finite population variance. An empirical study has been carried out to show the performance of the proposed strategies over the Sitter estimators.

Keywords

Two-phase sampling

Jackknife

Regression estimator

Variance estimation 

Main Sponsor

Survey Research Methods Section