# Bootstrap vs. jackknife

Both bootstrap and jackknife methods can be used to estimate bias and standard error of an estimate and mechanisms of both resampling methods are not huge different: sampling with replacement vs. leave out one observation at a time. However, jackknife is not as popular as bootstrap in research and practice.

Is there any obvious advantage of using bootstrap instead of using jackknife?

• Just as a matter of history, I learned about the jackknife in the early 1970s, when statistics was still largely done on a yellow pad. (Computer time was too expensive!) If memory serves, it was promoted by John Tukey. – Dan Buskirk Mar 3 '17 at 11:00

• But perhaps also see @Benjamin's answer here (stats.stackexchange.com/questions/96739/…) as a case where a jackknife is still useful. Jackknifes are also still used (it seems) in estimating $a$ when calculating BCa confidence intervals. – russellpierce May 7 '14 at 14:43