Panelists bias matrix estimation in a red wine trained panel: A potential tool for data pre‐treatment and feedback calibration.
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- 2019
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- Correction Notice
Works matching IS 08869383 AND DT 2019 AND VI 33 AND IP 5
Results: 7
1
2
Modified ridge‐type estimator to combat multicollinearity: Application to chemical data.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 5, p. N.PAG, doi. 10.1002/cem.3125
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- Publication type:
- Article
3
End‐to‐end quantitative analysis modeling of near‐infrared spectroscopy based on convolutional neural network.
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- Journal of Chemometrics, 2019, v. 33, n. 5, p. N.PAG, doi. 10.1002/cem.3122
- By:
- Publication type:
- Article
4
Sensitivity limits for determining 1:1 binding constants from spectrophotometric titrations via global analysis.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 5, p. N.PAG, doi. 10.1002/cem.3119
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- Publication type:
- Article
5
Local partial least squares based on global PLS scores.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 5, p. N.PAG, doi. 10.1002/cem.3117
- By:
- Publication type:
- Article
6
Fault detection based on improved local entropy locality preserving projections in multimodal processes.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 5, p. N.PAG, doi. 10.1002/cem.3116
- By:
- Publication type:
- Article
7
Issue Information.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 5, p. N.PAG, doi. 10.1002/cem.3059
- Publication type:
- Article