Genetic robust kernel sample selection for chemometric data analysis.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3344
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- Publication type:
- Article
Works matching IS 08869383 AND DT 2021 AND VI 35 AND IP 6
Results: 7
1
2
Partial least squares and silver nanoparticles in spectrophotometric prediction of total hardness of water.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3345
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- Publication type:
- Article
3
Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3343
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- Publication type:
- Article
4
Influence diagnostics in the inverse Gaussian ridge regression model: Applications in chemometrics.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3342
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- Publication type:
- Article
5
Principal component regression that minimizes the sum of the squares of the relative errors: Application in multivariate calibration models.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3341
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- Publication type:
- Article
6
Issue Information.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3258
- Publication type:
- Article
7
False discovery rates, power and related concepts.
- Published in:
- Journal of Chemometrics, 2021, v. 35, n. 6, p. 1, doi. 10.1002/cem.3241
- By:
- Publication type:
- Article