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Glycan discovery is based on multivariate detection, and each additional orthogonal variable improves confidence of assignment.
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The developed fault diagnosis system comprises a detection module based on multivariate statistical techniques and an isolation module that uses an artificial neural network as a pattern classifier.
Using Parzen density estimation and foreground object detection, a fast estimation method was presented[22] and an automatic background modeling based on multivariate non-parametric KDE was proposed[23].
Dang and Serfling [3] introduced nonparametric multivariate outlier identifiers based on multivariate depth functions.
Data-driven techniques based on multivariate statistics (such as principal component analysis (PCA) and partial least squares (PLS)) have been applied widely to chemical processes and their effectiveness for fault detection is well recognized.
Furthermore, a deciding weight method based on multivariate statistical estimation is applied for weight optimization.
In this study an innovative statistical procedure based on multivariate techniques is applied.
A heuristic approach based on multivariate linear regression was adopted to improve the estimation.
In view of this, a response surface methodology based on multivariate rational functions will be developed.
Predictors for PSS score in migraine patients based on multivariate analyses are summarized in Table 4.
This control chart has been designed based on multivariate normal distribution.
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