Inferential Statisticshard
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Consider an estimator θ^n\hat{\theta}_n for a parameter θ\theta. If the Mean Squared Error is given by MSE(θ^n)=cn2+dnMSE(\hat{\theta}_n) = \frac{c}{n^2} + \frac{d}{n} for constants c,d>0c, d > 0, what does this reveal about the asymptotic properties of the estimator?