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Hence, the smallest, least variable case is one in which intra-patient response is reduced or managed in a patient-specific fashion, thus separating the final area into several smaller ones.
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Some of our results are restricted to the one-variable case and the corresponding several-variable case is left open.
An errors-in-variables case is considered, i.e. both measured input and output signals are affected by noise.
Based on our assumptions on initial and boundary conditions and for rectangular parallelepiped space, the Green's function solution for 3-spatial-variable case is the product of the solutions of the three single spatial-variable cases with stationary impulse point source [10, 35].
For continuous variables, cases were divided into two groups by splitting at the median value, except for EpICD, where the marker score distribution suggested splitting into score=0 (negative) and score >0 (positive) groups.
A variable demand case is considered as it replicates a realistic scenario for planning a rail transit line.
As seen, (P_{out}^{infty } ) for the variable-gain case is also a constant, hence leads to zero diversity order at high SNR.
But keep in mind that the independent variable, in this case, is an integer variable.
The dependent variable, in this case is the discrete or categorical variable represented by FS_states.
The independent variable in this case is the week number.
The dependent variable for this case is the third-child-male indicator for families with at least three children.
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