Canty, A. J.Davison, Anthony C.2025-12-082025-12-082025-12-062005-10-1510.1002/0470013192.bsa0572-s2.0-105023229171https://infoscience.epfl.ch/handle/20.500.14299/256828Bootstrap methods are powerful and widely useful simulation procedures, whose applications include assessing the uncertainty of a statistical estimator, constructing a confidence interval, and computing the significance probability associated with a hypothesis test.enfalsebootstrapconfidence intervalcorrelationhypothesis testpermutationregressionstatistical computingtext::book/monograph::book part or chapter