The Horvitz-Thompson estimator is a statistic used in probability and statistics.
It is a specialized version of the ordinary least squares (OLS) estimator, which is used to estimate parameters in regression models.
The Horvitz-Thompson estimator is more efficient than the OLS estimator, and is also better able to handle outliers.
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