Asymptotic normality refers to the property of a sequence of estimators that, as the sample size increases, their distribution approaches a normal distribution. This concept is crucial in statistics, particularly when evaluating point estimators and robust estimation methods, as it allows for the use of normal approximation in inference, even if the underlying data does not follow a normal distribution.
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