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In the context of our additive models, the partial residual plots help us assess the relationship between the response variable and each smooth term, given that the other smooth terms are in the model.
Although under a linear Gaussian model the maximum-likelihood estimate has a closed-form solution, under the logit and probit models the partial derivatives of the likelihood function with respect to the regression coefficients either do not exist or cannot be determined analytically, and the maximum-likelihood estimate must be computed iteratively.
In the adjusted models (Table 4, even numbered models), the partial R values of 0.022 for clusterin(F) and 0.033 for lubricin(L) are similar to the partial R values for age in the models, with significant P-values of <0.05.
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Then the proposed SCCS approach is applied to model the partial chaotic signal ( {mathrm{s}}_{pc} ).
ROLM allow modeling the partial rankings obtained from the responses to the Best-Worst Scaling questions.
In this new model the partial end-plate connection is modelled as a 2-noded nonlinear spring element.
The efficiency of this selection method is illustrated by modeling the partial inspection process of two steel frame buildings.
Via analytical and numerical results throughout this paper, we demonstrate that it is important to model the partial interference effects while analyzing wireless multiple access networks.
Based on our results, we demonstrate that it is important to model the partial interference effects while analyzing wireless multiple access networks.
This reinforces our argument that it is important to model the partial interference effects while analyzing the performance of wireless multiple access protocols.
Linear shear springs or slip modulus is considered at the interfaces to model the partial interaction between the sub-elements of the structure.
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