Efronâ€™s (1979) bootstrap makes use of increasing computational resources to provide standard errors and confidence intervals where difficult, if not impossible, to use a parametric approach

Some examples from special issue of Statistical Science (Randles, Hettmansperger, and Casella, 2004):

- Robust analysis of linear models (McKean, 2004)
- Density estimation (Sheather, 2004)
- Data modeling via quantile methods (Parzen, 2004)
- Kernel smoothers (Schucany, 2004)
- Permutation-based inference (Ernst, 2004)
- Multivariate signed rank tests in time series problems (Hallin and Paindaveine, 2004)
- Generalizations for nonlinear manifolds (Patrangenaru and Ellingson 2015)