Re-calibration of sample means
E. Greenshtein, Y. Ritov

TL;DR
This paper examines the calibration problem and the GREG estimator, revealing its limitations in variance minimization, and proposes a new estimator that is unbiased and asymptotically achieves minimal variance.
Contribution
It introduces a new estimator that improves upon the GREG method by being unbiased and asymptotically minimizing variance.
Findings
GREG estimator is not asymptotically minimal variance unbiased.
Proposed estimator is unbiased and asymptotically has minimal variance.
Abstract
We consider the problem of calibration and the GREG method as suggested and studied in Deville and Sarndal (1992). We show that a GREG type estimator is typically not minimal variance unbiased estimator even asymptotically. We suggest a similar estimator which is unbiased but is asymptotically with a minimal variance.
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Taxonomy
TopicsStatistical Methods and Inference · Advanced Statistical Methods and Models · Statistical Methods and Bayesian Inference
