I have found a few decent ones about specific resampling applications such as bootstrapped confidence intervals, but nothing broader. A journal article or book chapter would be preferable to an entire book, but all recommendations are welcome.
Edit: I am looking for an article or chapter that provides an overview of the wider range of resampling methods (e.g., bootstrapping, jackknifing, subsampling) rather than a treatment of just one.