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Jackknifing in Unbalanced Situations
Abstract
Both the standard jackknife and a weighted jackknife are investigated in the general linear model situation. Properties of bias reduction and standard error estimation are derived. and the weighted jackknife shown to be superior for unbalanced data. There is a preliminary discussion of robust regression fitting using jackknife pseudo-values.
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Cited by
MacKinnon, J. G., & White, H. (1985) · Journal of Econometrics · doi:10.1016/0304-4076(85)90158-7 · Cited by 1,879
Some aspects of the spline smoothing approach to non-parametric regression curve fitting
Silverman, B. W. (1985) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1985.tb01327.x · Cited by 1,117
A Note on the Efficiency of Sandwich Covariance Matrix Estimation
Kauermann, G., & Carroll, R. J. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753382309 · Cited by 616
How to address non-normality: a taxonomy of approaches, reviewed, and illustrated
Pek, J., Wong, O., & Wong, A. C. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02104 · Cited by 307
Cortical Gray and White Brain Tissue Volume in Adolescents and Adults with Autism
Hazlett, H. C., Poe, M. D., Gerig, G., Smith, R. G., & Piven, J. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.06.015 · Cited by 185
Metadata
- Authors
- HINKLEY, D. V.
- Venue
- Technometrics
- Publisher
- Taylor & Francis
- Published
- 1977-08-01
- Volume
- 19
- Issue
- 3
- Pages
- 285-285
- ISSN
- 0040-1706 (ISSN-L)
- OpenAlex
- W4248520104
- Cited by
- 215
- References
- 0
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Jackknifing in Unbalanced Situations. https://app.cochat.ai/papers/10.2307/1267698
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- HINKLEY, D. V. (1977). Jackknifing in Unbalanced Situations. Technometrics. https://doi.org/10.2307/1267698
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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.
