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Logistic regression analysis was first performed with a multilevel method, with possible clustering on GP level.
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Given the multilevel structure of the data, we apply multilevel methods with individuals (level 1) nested within countries (level 2) [ 37].
A robust multilevel method for computing the solution of a scalar elliptic equation with anisotropic highly varying tensor coefficients is presented.
Find the second level of approximate solution: standard multilevel method.
Find the first level of approximate solution: standard multilevel method.
Find the third level of approximate solution: standard multilevel method.
At the same level, the (L^{2}) errors of the multilevel augmentation method are slightly greater than those of the standard multilevel method.
At the same level, the (L^{2}) error of the multilevel augmentation method is greater than that of the multilevel method, but they are in the same order.
At this step, we obtain the third level of approximation by the standard multilevel method.
At this step, we obtain the second level of approximate solution by the standard multilevel method.
The multilevel augmentation method with the anti-derivatives of the Daubechies wavelets is presented for solving nonlinear two-point boundary value problems.
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