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For estimating the maximum and minimum horizontal stresses, both mentioned methods have some limitations in practice.
The combination of the above mentioned methods have also been used.
Several of the mentioned methods have been accessed for this dataset but fits were not as good as those obtained with the 2nd degree model.
While there is some work on experimental design for boolean networks [ 16] and Bayesian causal networks [ 17], none of the above mentioned methods have been used towards this goal.
So far, these mentioned methods have always been tested in the literature as stand-alone applications, and a quantification of the improvement in CGM performance that can be achieved by their combination has never been assessed.
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The above mentioned method has been implemented as a post-processor of a finite element software.
Absence of the mentioned method has also restricted usage of steel plate shear wall significantly.
The mentioned method has been applied to an unrealistic case study.
That such an approach is feasible has been shown in a study by van Kesteren, Kok, Hospers, Schippers, and De Wildt (2006), in which the above-mentioned methods have been integrated in an intervention to promote sexual health in HIV-positive MSM.
Most of the mentioned methods usually have sufficiently low detection limit and high selectivity but also in many cases, possess drawbacks such as high cost of equipment and expensive materials, time-consuming, and complicated operation.
The above mentioned methods also had with >85% a high correspondence of assignment with each other (data not shown).
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