1084 Least squares regression
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- DOI 10.1017/9781009755856.005
- OpenAlex ID W4234768331
- Type Book-chapter
- Language EN
- Published 01 Jan 2014
- Pages 108–144
- Source Cambridge University Press eBooks
- Publisher Cambridge University Press
- Countries 1
- Institutions 1
- Added 12 May 2022
- Updated 27 Oct 2026
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1084 Least squares regression
Book-chapter 2014 EN
Regression is a foundational concept in applied mathematics and statistics, with applications in data analysis, inverse problems, control theory, and machine learning. Linear least-squares regression solves for the unknown parameters of a model that is written as a linear system of equations. This is a convex problem, where the unknowns are chosen to minimize the sum-squared error of the fit over…
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1 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Steven L. Brunton Corresponding | University of Washington (US) | — |
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