There are three alternative definitions of a consistent estimator. I: An estimator is consistent if its probability limit equals its true parameter value as sample size approaches infinity. II: An estimator is consistent if its mean squared error goes to zero as sample size approaches infinity. III: An estimator is consistent if it is unbiased, and its variance goes to zero as sample size approaches infinity. Which of the following is correct?
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