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The Bootstrap and Edgeworth Expansion
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Citations
Cited by
Bootstrap confidence intervals
DiCiccio, T. J., & Efron, B. (1996) · Statistical Science · doi:10.1214/ss/1032280214 · Cited by 2,286
Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models
Williams, J., & MacKinnon, D. P. (2008) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701758166 · Cited by 1,240
Stepwise Multiple Testing as Formalized Data Snooping
Romano, J. P., & Wolf, M. (2005) · Econometrica · doi:10.1111/j.1468-0262.2005.00615.x · Cited by 1,019
Robust performance hypothesis testing with the Sharpe ratio
Ledoit, O., & Wolf, M. (2008) · Journal of Empirical Finance · doi:10.1016/j.jempfin.2008.03.002 · Cited by 948
Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
Romano, J. P., & Wolf, M. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000000539 · Cited by 609
Financial Structure and Economic Growth
(2001) · The MIT Press eBooks · doi:10.7551/mitpress/3001.001.0001 · Cited by 544
Cluster-robust inference: A guide to empirical practice
MacKinnon, J. G., Nielsen, M. Ø., & Webb, M. D. (2023) · Journal of Econometrics · doi:10.1016/j.jeconom.2022.04.001 · Cited by 407
Cedersund, G., & Roll, J. (2009) · The FEBS Journal · doi:10.1111/j.1742-4658.2008.06845.x · Cited by 127
Combining multiple imputation and bootstrap in the analysis of cost‐effectiveness trial data
Brand, J., van Buuren, S., le Cessie, S., & van den Hout, W. (2019) · Statistics in Medicine · doi:10.1002/sim.7956 · Cited by 131
Sherman, M., & Cessie, S. L. (1997) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610919708813417 · Cited by 103
Optimal pricing in e-commerce based on sparse and noisy data
Bauer, J., & Jannach, D. (2018) · Decision Support Systems · doi:10.1016/j.dss.2017.12.002 · Cited by 92
Flexible Supply of Apprenticeship in the British Industrial Revolution
Zeev, N. B., Mokyr, J., & van der Beek, K. (2017) · The Journal of Economic History · doi:10.1017/s0022050717000043 · Cited by 48
John Mann, J., Ellis, S. P., Currier, D., Zelazny, J., Birmaher, B., Oquendo, M. A., Kolko, D. J., Stanley, B., Melhem, N., Burke, A. K., et al. (2016) · Archives of Suicide Research · doi:10.1080/13811118.2015.1033504 · Cited by 10
Metadata
- Authors
- Hall, P.
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 1992
- ISSN
- 0172-7397 (ISSN-L)
- OpenAlex
- W4230173782
- Cited by
- 2,042
- References
- 0
- FWCI
- 14.90
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.