Data Transforms in Chemometric Calibrations: Variations of MLR, Part 3-- Reducing Sensitivity to Repack, Σ b<subscript>i</subscript> = 0.
In: Spectroscopy, Jg. 38 (2023-10-01), Heft 10, S. 14-18
Online
serialPeriodical
Zugriff:
The article discusses a variation of the Multiple Linear Regression (MLR) algorithm aimed at reducing sensitivity to variations caused by repacking samples in spectroscopy. Topics include the challenges posed by repack effects in spectral data, the mathematical approach of adding constraints to the calibration model to ensure the sum of calibration coefficients equals zero, and the significance of the Lagrange multiplier (λ) in this context.
| Titel: |
Data Transforms in Chemometric Calibrations: Variations of MLR, Part 3-- Reducing Sensitivity to Repack, Σ b<subscript>i</subscript> = 0.
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| Autor/in / Beteiligte Person: | Mark, Howard ; Workman Jr., Jerome |
| Link: | |
| Zeitschrift: | Spectroscopy, Jg. 38 (2023-10-01), Heft 10, S. 14-18 |
| Veröffentlichung: | 2023 |
| Medientyp: | serialPeriodical |
| ISSN: | 0887-6703 (print) |
| DOI: | 10.56530/spectroscopy.jm1087r1 |
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