Bootstrapping is a widely used statistical learning technique that falls under the broader category of resampling methods. Bootstrapping is typically used in the estimation of various statistics and ...

To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...

American Journal of Agricultural Economics, Vol. 79, No. 4 (Nov., 1997), pp. 1352-1362 (11 pages) This paper uses resampling estimation techniques to develop a statistical mathematical programming ...

We shall propose a method somewhere between the jackknife and the bootstrap. It works under weaker conditions than that of the jackknife, while it requires less numerical computation than that of the ...