The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The bootstrap and its application in signal processing
Abstract
The bootstrap is an attractive tool for assessing the accuracy of estimators and testing hypothesis for parameters where conventional techniques are not valid, such as in small data-sample situations. We highlight the motivations for using the bootstrap in typical signal processing applications and give several practical examples. Bootstrap methods for testing statistical hypotheses are described and we provide an analysis of the accuracy of bootstrap tests. We also discuss how the bootstrap can be used to estimate a variance-stabilizing transformation to define a pivotal statistic, and we demonstrate the use of the bootstrap for constructing confidence intervals for flight parameters in a passive acoustic emission problem.
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Citations
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
A leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
Two Guidelines for Bootstrap Hypothesis Testing
Hall, P., & Wilson, S. R. (1991) · Biometrics · doi:10.2307/2532163 · Cited by 471
Cited by
Sensory reweighting dynamics in human postural control
Assländer, L., & Peterka, R. J. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00669.2013 · Cited by 310
A Comparison of Some Error Estimates for Neural Network Models
Tibshirani, R. (1996) · Neural Computation · doi:10.1162/neco.1996.8.1.152 · Cited by 285
A Q-learning-based multi-agent system for data classification
Pourpanah, F., Tan, C. J., Lim, C. P., & Mohamad-Saleh, J. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2016.10.016 · Cited by 38
Wan, Y., Yang, P., Xu, L., Yang, J., Luo, C., Wang, J., Chen, F., Wu, Y., Lu, Y., Ruan, D., et al. (2021) · Medical Physics · doi:10.1002/mp.15199 · Cited by 18
Metadata
- Authors
- Zoubir, A. M., & Boashash, B.
- Venue
- IEEE Signal Processing Magazine
- Published
- 1998
- Volume
- 15
- Issue
- 1
- Pages
- 56-76
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2120144520
- Cited by
- 476
- References
- 3
- FWCI
- 11.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zoubir, A. M., & Boashash, B. (1998). The bootstrap and its application in signal processing. IEEE Signal Processing Magazine. https://doi.org/10.1109/79.647043
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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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