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Multivariate Granger causality can be derived based on the model coefficients A(1).A(p) as in previous studies [26] [30].
We describe how we actually estimate the linear model coefficients a, b, c, d and α, β, and we provide an interpretation of the proposed iterative framework in matrix form in Section 4. In Section 5, we demonstrate the performance of the system with some experimental results, and finally we conclude the article in Section 6.
The model has three serial tanks, represented as n = 1 to 3, ten model coefficients (A n, B n, and S n ) for the side outlets (Q n ) and bottom outlets (L n ), and specified depth thresholds of water levels (Z n ) in each tank.
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The authors employed this procedure to develop a model characterising the effects of time resolution on the model coefficients for a large food processing plant and a 'high-tech' factory.
Once the auto covariance function has been calculated the mp2 model coefficients of the A(i) coefficient matrix can be solved for because there are mp2 equations within Equation 3.
First, we did an omnibus test of model coefficients versus a model with intercept only.
p Values in an omnibus test of model coefficients versus a model with intercept only were statistically significant (p<0.05) for all the models in WCST factor scores.
Model coefficients indicated a positive correlation with age, but surprisingly, a negative correlation with ADT.
Preferences will be compared across discrete choice models via an assessment of correlations of the model coefficients and a comparison of the predicted MRS between attributes.
One model was used to model the probability of the "true" exposure as a function of all covariates (using N 0,1) prior estimates for model coefficients) in a logistic model.
The general trend of the model coefficients as a function of the road roughness is exemplified for the ARIMA model coefficient ϕ 1 on different types of roads under various scenarios in Fig. 8. Fig. 8 ARIMA model coefficient ϕ 1 on different types of roads under various scenarios.
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