The jackknife, leave-one-out for bias and variance
You have observations and a statistic , and want its bias and standard error without a formula.
Explain the jackknife: the algorithm, what it estimates, its relationship to the bootstrap, and a case where it fails.
Show a hint
Recompute the statistic times, each time leaving out one observation. How much each leave-one-out value moves tells you about variability.
Your answer
This one is open-ended. Work it through, then check your reasoning against the full solution.