H‐methods in applied sciences

@article{Hskuldsson2008HmethodsIA,
  title={H‐methods in applied sciences},
  author={Agnar H{\"o}skuldsson},
  journal={Journal of Chemometrics},
  year={2008},
  volume={22}
}
The author has developed a framework for mathematical modelling within applied sciences. It is characteristic for data from ‘nature and industry’ that they have reduced rank for inference. It means that full rank solutions normally do not give satisfactory solutions. The basic idea of H‐methods is to build up the mathematical model in steps by using weighing schemes. Each weighing scheme produces a score and/or a loading vector that are expected to perform a certain task. Optimisation… 
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17 Citations
Highly Influential Citations
1
Background Citations
4
Methods Citations
4

17 Citations

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The utility and effectiveness of four new predictor-variable properties, derived from the multiple response PLS2 regression coefficients, are studied for six data sets consisting of ultraviolet-visible (UV-vis) spectra, near-infrared (NIR) spectRA, NMR spectra and two simulated sets, one with correlated and one with uncorrelated responses.
Practical Considerations on Nonparametric Methods for Estimating Intrinsic Dimensions of Nonlinear Data Structures
TLDR
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Improved modelling for low-correlated multiple responses by common-subset-of-independent-variables partial-least-squares.
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References

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