H‐methods in applied sciences
@article{Hskuldsson2008HmethodsIA, title={H‐methods in applied sciences}, author={A. 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… Expand
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References
SHOWING 1-10 OF 20 REFERENCES
Chemometrics in food science—a demonstration of the feasibility of a highly exploratory, inductive evaluation strategy of fundamental scientific significance
- Computer Science
- 1998
- 141
Multi-way Analysis with Applications in the Chemical Sciences
- Computer Science, Mathematics
- 2004
- 820
- PDF
How to avoid over-fitting in multivariate calibration--the conventional validation approach and an alternative.
- Chemistry, Medicine
- Analytica chimica acta
- 2007
- 162