Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. It's used when: You don't know the underlying distribution for the population, Traditional formulas are difficult or impossible to apply, As a substitute for traditional methods. Two popular tools are the bootstrap and jackknife. Although they have many…
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