Good estimators should be unbiased, meaning they accurately reflect the true parameter they estimate on average. They should also be consistent, converging to the true parameter value as the sample size increases. Additionally, good estimators should have minimum variance among all unbiased estimators, ensuring they provide the most precise estimates. Finally, they should be efficient, meaning they make the best use of the available data.
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