For some parametric families, a complete sufficient statistic does not exist.
From the en.wikipedia.org
If the entire population is sampled, then the sample statistic mean and distribution will converge with the parametric distribution.
From the en.wikipedia.org
Both methods, the bootstrap and the jackknife, estimate the variability of a statistic from the variability of that statistic between subsamples, rather than from parametric assumptions.