We show that, when the double bootstrap is used to improve performance of bootstrap meth- ods for bias correction, techniques based on using a single double-bootstrap sample for each single-bootstrap sample can produce third-order accuracy for much less computational expense than is required by conventional double-bootstrap methods. However, this improved level of per- formance is not available for the single double-bootstrap methods that have been suggested to construct confidence intervals or distribution estimators.
