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Concept
Resampling is a statistical technique used to estimate the variability of a sample by repeatedly drawing samples from the data and assessing the variation in a statistic of interest. It is commonly used in methods like bootstrapping and permutation tests to provide empirical distributions and confidence intervals without relying on traditional parametric assumptions.
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