Abstract
The jackknife and the bootstrap are computer-intensive methods. Modern computers can meet many computing needs in applying these methods. However, research on the computation of the jackknife and bootstrap estimators is still important, because of the following reasons:
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(1)
There are cases (e.g., the delete-d jackknife and the iterative bootstrap) where the computation is cumbersome or even impractical.
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(2)
More efficient methods for computation are always welcome for saving time and computing expenses.
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(3)
Questions such as how many bootstrap data sets should be taken in bootstrap Monte Carlo approximations are often asked by practitioners before they apply the bootstrap method.
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© 1995 Springer Science+Business Media New York
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Shao, J., Tu, D. (1995). Computational Methods. In: The Jackknife and Bootstrap. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0795-5_5
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DOI: https://doi.org/10.1007/978-1-4612-0795-5_5
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