Resampling technique for estimating standard errors and computing confidence intervals of sample based quantities.
The bootstrap is a statistical method used to obtain reliable standard errors, confidence intervals, and other measures of uncertainty for a wide range of problems. The key idea is to create replicate datasets by resampling from the original data, and to compute the quantities of interest in the data analysis on the replicated datasets.
See the Wikipedia article for more information.
