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 control chart has been designed based on multivariate normal distribution.
This paper establishes a polymerized model based on multivariate Gaussian Copula function.
For the STM, a special clustering method was proposed based on multivariate statistics.
The new technique is based on multivariate latent variable methods (LVM) coupled with optimization techniques.
