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Equivalent Weights

A statistical concept connecting model-assisted estimation with design-based inference. If a model-assisted estimator can be written in the linear form of a weighted sample mean, the corresponding weights are the equivalent weights; when the model is correct, the weighted estimator and the model prediction are asymptotically equivalent.

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Oct 15

The basic idea of equivalent weights is: if a model-assisted estimator can be written in the linear form of a weighted sample mean, then the corresponding weights are the equivalent weights; when the model is correct, the weighted estimator based on these weights is asymptotically equivalent to the model prediction results.

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