If the probability distribution of an estimator has an expected value equal to the parameter it is supposed to be estimating, it is said to be unbiased. Between two candidate estimators, the one with a smaller variance is said to use the information in the data more efficiently. When the probability that an estimator is within a small interval of the true value approaches 1, it is said to be a consistent estimator.
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