Statistical Inference
Bootstrapping is a statistical technique that involves resampling data with replacement to estimate the distribution of a statistic. This method is particularly useful for estimating confidence intervals and standard errors without making strong parametric assumptions about the underlying population. By generating numerous simulated samples from the original dataset, bootstrapping allows for more robust inferences and predictions, especially when dealing with small sample sizes or complex data structures.
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