Print  Close

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

Abstract Number:

2489 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Paper 

Participants:

Lane Christiansen (1), Sarjinder Singh (2)

Institutions:

(1) N/A, N/A, (2) Texas A&M University-Kingsville, N/A

Co-Author:

Sarjinder Singh  
Texas A&M University-Kingsville

First Author:

Lane Christiansen  
N/A

Presenting Author:

Lane Christiansen  
N/A

Abstract Text:

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| |

Sponsors:

Survey Research Methods Section

Tracks:

Weighting/Variance Estimation

Can this be considered for alternate subtype?

No

Are you interested in volunteering to serve as a session chair?

Yes

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

I understand