The bootstrap, introduced by Efron (1979), is a statistical procedure for estimating the distribution of a given estimator. The distinguishing feature of the bootstrap is that it replaces the unknown population distribution of the data by an estimate of it, which is formed by resampling the original sample randomly with replacement.