Calibration Estimation in Survey Sampling

Citations

WEB OF SCIENCE

75
Citations

SCOPUS

80

초록

Calibration estimation, where the sampling weights are adjusted to make certain estimators match known population totals, is commonly used in survey sampling. The generalized regression estimator is an example of a calibration estimator. Given the functional form of the calibration adjustment term, we establish the asymptotic equivalence between the functional-form calibration estimator and an instrumental variable calibration estimator where the instrumental variable is directly determined from the functional form in the calibration equation. Variance estimation based on linearization is discussed and applied to some recently proposed calibration estimators. The results are extended to the estimator that is a solution to the calibrated estimating equation. Results from a limited simulation study are presented.

키워드

Benchmarking estimator; domain estimation; generalized regression estimator; instrumental variable regression estimator; variance estimation; EMPIRICAL LIKELIHOOD; AUXILIARY INFORMATION; MODEL; PREDICTION
제목
Calibration Estimation in Survey Sampling
저자
Kim, Jae Kwang; Park, Mingue
DOI
10.1111/j.1751-5823.2010.00099.x
발행일
2010-04
유형
Article
저널명
International Statistical Review
권
78
호
1
페이지
21 ~ 39