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Invariance properties for the error function used for multilinear regression
The connections between the error function used in multilinear regression and the expected, or assumed, properties of the data are investigated. It is shown that two of the most basic properties often required in data analysis, scale and rotational invariance, are incompatible. With this, it is esta...
Autores principales: | Holmes, Mark H., Caiola, Michael |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306212/ https://www.ncbi.nlm.nih.gov/pubmed/30586372 http://dx.doi.org/10.1371/journal.pone.0208793 |
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