 For practical problems with finite samples, other estimators may be preferable.Asymptotic theory suggests techniques that often improve the performance of bootstrapped estimators; the bootstrapping of a maximum-likelihood estimator may often be improved using transformations related to pivotal quantities.The bootstrap distribution of a parameter-estimator has been used to calculate confidence intervals for its population-parameter.