Bootstrap methods are a resampling technique used to estimate the distribution of a statistic by repeatedly sampling with replacement from the observed data. This approach allows for the construction of confidence intervals, hypothesis testing, and assessing the stability of statistical estimates, making it a valuable tool in statistical analysis and inference.
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