 In univariate problems, it is usually acceptable to resample the individual observations with replacement ("case resampling" below) unlike subsampling, in which resampling is without replacement and is valid under much weaker conditions compared to the bootstrap.In small samples, a parametric bootstrap approach might be preferred.For other problems, a "smooth bootstrap" will likely be preferred.