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Resampling is taking a sample from a sample. Common uses are jackknifing (taking a subsample, eg all values but 1) & bootstrapping (sampling w/ replacement). These techniques can provide a robust estimate of a sampling distribution when it would be difficult or impossible to derive analytically.

Resampling is taking a sample from a sample. Common uses are jackknifing (taking a subsample, e.g., all values but one), and bootstrapping (sampling with replacement). These techniques can provide a robust estimate of a sampling distribution when it would be difficult or impossible to derive analytically.

Resampling methods can help with providing confidence intervals and performing statistical inference without assuming a known probability distribution for the data.

Reference: Statistical Methods by Arnaud Delorme.

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