# Bootstrap Methods: Another Look at the Jackknife

@article{Efron1979BootstrapMA, title={Bootstrap Methods: Another Look at the Jackknife}, author={Bradley Efron}, journal={Annals of Statistics}, year={1979}, volume={7}, pages={1-26} }

We discuss the following problem given a random sample X = (X 1, X 2,…, X n) from an unknown probability distribution F, estimate the sampling distribution of some prespecified random variable R(X, F), on the basis of the observed data x. (Standard jackknife theory gives an approximate mean and variance in the case R(X, F) = \(\theta \left( {\hat F} \right) - \theta \left( F \right)\), θ some parameter of interest.) A general method, called the “bootstrap”, is introduced, and shown to work…

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