We give illustrative examples based on the multivariate normal and multivariate Student t distributions.
The decision boundary for multivariate outlier detection based on a multivariate normal distribution has an ellipsoidal shape in general [ 19] and is an ellipse for the bivariate (two markers) case (Fig. 9a).
Dang and Serfling [3] introduced nonparametric multivariate outlier identifiers based on multivariate depth functions.
In this study an innovative statistical procedure based on multivariate techniques is applied.
Furthermore, a deciding weight method based on multivariate statistical estimation is applied for weight optimization.
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 paper establishes a polymerized model based on multivariate Gaussian Copula function.
Based on the theory of approximation, a response surface method based on Multivariate Rational Function basis (MRRSM) is proposed.
