An asymptotic distribution describes the behavior of a statistical estimator as the sample size approaches infinity. This concept is crucial for understanding how estimators converge to their true parameters and is often explored through techniques such as the Central Limit Theorem. Asymptotic distributions help simplify the analysis of estimators by allowing statisticians to use normal approximations in large samples, even if the underlying distribution is not normal.
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