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Computational Statistics & Data Analysis
Article . 2006 . Peer-reviewed
License: Elsevier TDM
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zbMATH Open
Article . 2006
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Article . 2025
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The element-wise weighted total least-squares problem

Authors: Ivan Markovsky; Maria Luisa Rastello; Amedeo Premoli; Alexander Kukush; Sabine Van Huffel;

The element-wise weighted total least-squares problem

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Countries
Belgium, Italy
Keywords

re-weighted least-squares, non-convex optimization, Numerical solutions to overdetermined systems, pseudoinverses, Unequally sized errors, Linear regression; mixed models, multivariate errors-in-variables model, Re-weighted least squares, unequally sized errors, Non-convex optimization, Multivariate errors-in-variables model, Computational methods for problems pertaining to statistics, total least squares

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    71
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
71
Top 10%
Top 1%
Top 10%
bronze