Numerical analysis are first carried out to investigate the accuracy, convergence and robustness of identified results to different noise levels, sensor numbers, and initial estimates of structural parameters.
Upholding the gold standard in association studies, all five genome-wide association scans included a replication stage, where the robustness of identified associations was tested.
In the presence of large experimental repeats it may be possible to determine robustness of identified network by repeatedly solving the network identification problem at each of the experimental data sets and analyzing the connections which are heavily repeated.
Regulatory elements and analytical guidelines, as suggested by the NIH or the MACQ studies, have been introduced to increase the validity and robustness of identified biomarkers and to make studies more homogenous.
An approach is presented here to study formulation robustness in multidimensional space using a customized experimental design and novel multidimensional diagrams, which present a unique way of identifying robustness limits.
In a second step, we analyzed the performance and robustness of the identified quality degradation indicators on speech samples only impaired by one degradation (representative of one perceptual dimension) at a time.
Model sensitivity assessment tested the robustness of spatially identified patterns of building vulnerability in the face of uncertainty in model inputs.
However, they are generally used without any assessment of the statistical robustness of the identified clusters [17].
In the next section we validate the conclusions from our structural analysis, particularly the hypothesis of the robustness of the identified core network, by numerical simulations.
More data are needed to determine the robustness of the identified factors.
