Resampling in statistics refers to a collection of methods for repeatedly drawing samples from observed data or a statistical model. The main purpose of resampling techniques is to estimate the distribution of a statistic and to validate models or hypotheses when traditional parametric assumptions may not hold. Resampling is particularly useful in situations where the sample size is small or the underlying distribution is unknown.
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