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Efficient bootstrap simulation
Abstract
Bootstrap methods are simulation methods for assessing sampling properties of statistical estimates. We discuss two ideas for making the simulation more efficient. The first idea is to balance the simulated samples, and the second idea is to make explicit use approximations which do not require simulation. Both ideas are illustrated with three examples.
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Cites
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Cited by
Improvements on Cross-Validation: The 632+ Bootstrap Method
Efron, B., & Tibshirani, R. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10474007 · Cited by 1,636
Two Guidelines for Bootstrap Hypothesis Testing
Hall, P., & Wilson, S. R. (1991) · Biometrics · doi:10.2307/2532163 · Cited by 471
Friston, K. J., Josephs, O., Zarahn, E., Holmes, A. P., Rouquette, S., & Poline, J.-B. (2000) · NeuroImage · doi:10.1006/nimg.2000.0609 · Cited by 431
Statistical inference and nonparametric efficiency: A selective survey
Grosskopf, S. (1996) · Journal of Productivity Analysis · doi:10.1007/bf00157039 · Cited by 289
Efficacy and Stability of Quantal GABA Release at a Hippocampal Interneuron–Principal Neuron Synapse
Kraushaar, U., & Jonas, P. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-15-05594.2000 · Cited by 281
Metadata
- Authors
- DVISON, A. C., HINKLEY, D. V., & SCHECHTMAN, E.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1986
- Volume
- 73
- Issue
- 3
- Pages
- 555-566
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2054366209
- Cited by
- 211
- References
- 1
- FWCI
- 7.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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