Bootstrap and Resampling

Abstract

The bootstrap is by now a standard method in modern statistics. Its roots go back to a lot ofresampling ideas that were around in the seventies. The seminal work of Efron synthesized some of the earlierresampling ideas and established a new framework for simulation based statistical analysis. The idea of thebootstrap is to develop a setup to generate more (pseudo) data using the information of the original data. True underlying sample properties are reproduced as closely as possible and unknown model characteristics are replaced by sample estimates.