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Altman (1968) developed a first multivariate discriminant model for default prediction for US companies.
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A composite predictive model was developed that combines Bayesian classification tree and multivariate discriminant models.
The 25 compounds were used to compute two multivariate QSAR models and two multivariate discriminant analysis models were computed from both active and inactive compounds.
Preprocessed GC-FID fingerprints of genuine and counterfeit samples were further modeled using multivariate discriminant methods in order to verify the possibility of their discrimination.
A combination of univariate preselection, multivariate discriminant analyses followed by unsupervised graphical models was employed to find genes significantly regulated by CRH/CRHR1-dependent mechanisms.
Multivariate discriminant analysis of the electromyographic interference pattern: statistical approach to discrimination among controls, myopathies and neuropathies.
χ2 test, multivariate discriminant analysis and binary logistic regression were performed for the identification of the significant features and for testing newly created diagnostic models.
The multivariate statistical methods; multivariate discriminant analysis, k-means cluster analysis and logistic regression analysis are tested.
(B) Multivariate discriminant partial least squares regression (D-PLSR) analysis segregated growth conditions based on either cytokine expression or phosphorylation of intracellular signaling proteins.
Multivariate discriminant analysis performed on selected trace elements confirms the previous suggestions.
Multivariate discriminant analysis was used to identify craniofacial measurements that best differentiated the 3 groups (FAS, PFAS, and control).
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