5.11 The Bootstrap
The bootstrap can be used in a wide variety of modeling frameworks to estimate the uncertainty associated with a given estimator.
For example, the bootstrap is useful to estimate the standard errors of the coefficients for a linear regression.
The bootstrap involves repeated sampling with replacement from the original data set to form a distribution of the statistic in question.