Sentence examples for model the multivariate from inspiring English sources

The general theory of bivariate hotspot detection is explained, including the bivariate binomial model, the multivariate exceedance approach, and the bivariate Poisson distribution.

In this study, the feasibility of this multivariate method to model the multivariate dependency of seven soil parameters including the undrained shear strength ratio, overconsolidation ratio, sensitivity, normalized cone tip resistance, normalized sleeve frictional resistance, pore pressure parameter, and normalized shear wave velocity.is studied.

Hence, the duration of the establishment phase, in which correlations between successive years are likely to be important, is included as an input value and, together with the cross-correlation estimate, is used to model the multivariate distribution of variable costs during that period.

Compared with the crude model, the multivariate model produced similar risk estimates.

Guided by our conceptual model, the multivariate analysis has been conducted in several model steps.

The cut-off point for univariate binary logistic regression analysis was set at p-value of ≤0.2 and variables that were significantly associated with HCU were used to model the multivariate binary logistic regression analysis (p-value ≤0.05).

When all the five success score components were simultaneously included in the Cox model, the multivariate-adjusted hazard ratios for diabetes (95% CI) were 0.43 (0.30–0.61) for weight reduction, 0.80 (0.48–1.34) for intake of fat, 0.55 (0.26–1.16) for intake of saturated fat, 0.97 (0.63–1.51) for intake of fiber, and 0.80 (0.57–1.12) for physical activity.

Obesity was found to have a protective effect against cognitive decline in both the univariate model and the multivariate model.

The final model of the multivariate ANCOVA (Model 1) is displayed in Table 1.

In this study, we compared reaction norm and factor analytic models with the multivariate model without selection bias correction.

The vector autoregressive (VAR) model (Christopher 1980) generalizes the univariate autoregressive model to the multivariate case.