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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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10/15/2026
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