- An estimator is unbiased if on average the value of the estimator is equal to the parameter it is estimating.
- An estimator is consistent if the larger the sample size, the closer is the value of the estimator to the parameter it is estimating.
- An estimator is efficient, if it has the smallest variance among other unbiased estimators.
Section 002
Additional Problems for Exam 2 - Section 001
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