The structure of noise in a dataset and, in particular, whether it is homoscedastic or heteroscedastic, can significantly affect the properties of multivariate calibration models. This is particularly true when the data are subjected to a nonlinear transformation prior to the formation of the model.
✦ LIBER ✦
The effect of IEC grouping algorithms on frequency domain noise
✍ Scribed by Dalibor Brnobić; Saša Vlahinić; Nino Stojković
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 384 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0263-2241
No coin nor oath required. For personal study only.
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