The DOI matches its Crossref record.
The Total Least Squares Problem: Computational Aspects and Analysis.
Abstract
Introduction Basic principles of the total least squares problem Extensions of the basic total least squares problem Direct speed Improvement of the total least squares computations Iterative speed Improvement for solving slowly varying total least squares problems Algebraic Connections Between total least squares and least squares problems Sensitivity analysis of total least squares and least squares problems in the presence of errors in all data Statistical properties of the total least squares problem Algebraic connections between total least squares estimation and classical linear regression in Multicollinearity problems Conclusions.
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Cited by
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Jackson, A., Jonkers, A. R. T., & Walker, M. R. (2000) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2000.0569 · Cited by 1,085
Subspace-based signal analysis using singular value decomposition
Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE · doi:10.1109/5.237536 · Cited by 348
Metadata
- Authors
- Fisher, G. W., Huffel, S. V., & Vandewalle, J.
- Venue
- Mathematics of Computation
- Publisher
- JSTOR
- Published
- 1992-10
- Volume
- 59
- Issue
- 200
- Pages
- 724
- ISSN
- 0025-5718 (ISSN-L)
- OpenAlex
- W2030255580
- Cited by
- 1,164
- References
- 0
- FWCI
- 35.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Total Least Squares Problem: Computational Aspects and Analysis. https://app.cochat.ai/papers/10.2307/2153088
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- Fisher, G. W., Huffel, S. V., & Vandewalle, J. (1992). The Total Least Squares Problem: Computational Aspects and Analysis. Mathematics of Computation. https://doi.org/10.2307/2153088
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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.
