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For example, the recently developed joint deficit index (JDI) is based on multivariate probabilities of precipitation over various time scales from 1- to 12-months, and was constructed from empirical copulas.
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We used separate conical variate analyses (CVA; JMP 5.1.1 statistical software) for each dataset, which generates a classification matrix of group membership, with individual posterior probabilities, based on multivariate discriminant functions.
We are proposing to use a simple computer program based on multivariate analysis to calculate the probability of the event of surgical morbidity or mortality.
Our predictive algorithm was based on multivariate logistic regression modelling to derive predicted probabilities of PDAC based on the significant independent urinary biomarkers (uMMP-2 and uTIMP-1) with cutoff values for those biomarkers determined using the Youden index in ROC analysis to maximise sensitivity and specificity of prediction.
Methods ML techniques based on multivariate logistic regression analysis were used to construct a mathematical model for predicting hypotension expressed as a hypotension probability indicator (HPI™).
Dang and Serfling [3] introduced nonparametric multivariate outlier identifiers based on multivariate depth functions.
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.
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