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The bootstrap is a resampling method to estimate the sampling distribution of a statistic.

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Ideal bootstrap standard error of the mean vs. usual standard error of the mean

Could someone please prove this statement: The ideal bootstrap standard error of the mean $$se_\infty(\bar{x})$$ (The standard error of bootstrap resampled means, where the number of bootstrap samples … Note: Here is an explanation given by my TA, I'd like it if you could clarify his explanation: The "ideal bootstrap estimate of the standard error" is the standard error of a statistic under the distribution …
Matt Durrant's user avatar