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The proposed Reg-SARIMA GARCH model is designed in such a way that the pReg-SARIMA GARCHes are initially selected using a modelvariste adesignedregressinn suchnes algorithm.
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saplings were analysed using a multivariate method.
Extraction conditions were optimized using a multivariate approach.
A very recent development is multivariate MPS in which an ensemble of variables can be simulated simultaneously using a multivariate TI.
4) Statistical classification using a multivariate Gaussian classifier.
Independent risk factors were analysed using a multivariate logistic regression.
Data were analyzed using a multivariate analysis of variance (MANOVA).
Multivariate survival analysis was conducted using a multivariate Cox regression model.
This paper presents a new assessment approach which combines the use of a multivariate adaptive regression splines (MARS) approach and the logistic regression (LR) method.
A multivariate adaptive spline model is used to describe the functional predictors, and a generalized linear model with a random intercept describes the response.
Response surfaces of these results are constructed via a Multivariate Adaptive Regression Splines (MARS) technique.
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