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Bivariate correlations were computed and a two-factor model was tested against a one-factor model with structural equation modeling, using Amos 16.0.
Numerical simulation based on a theoretical model with structural nonlinear contact stiffness is implemented, to achieve insight into CAN induced by a loose bolt.
The methodology was applied to a synthetic reservoir model with structural and petrophysical properties similar to a real reservoir and the results showed that it is possible to apply genetic algorithm in the integration of history matching and geostatistical modeling with feasible computational effort in terms of number of flow simulations.
Figure 4 shows the schematic diagram of the improved sparse model with structural information based on the Eq. (4).
These isolated spots are mostly misclassifications, which can be effectively corrected by using the improved sparse model with structural information.
The improved sparse model with structural information was applied on the classification of M-FISH image data.
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Advanced multivariate techniques were used to build a measurement model and to test the model fit with structural equation modeling.
This article presents a systematic approach that makes it possible to derive architectural models, with structural descriptions and behaviour, from Teleo-Reactive Programs.
This approach has been shown to enrich sequence-derived evolutionary models with structural information for various purposes [12] [14].
Consensus approaches require an ensemble of models with structural variety, reflecting alternative conformations (Roche et al., 2014; Skwark and Elofsson, 2013).
In addition, some extensions of the methodology proposed by [ 13] have been suggested, such as threshold models with structural coefficients functioning at the level of liabilities ([ 15, 28, 33]), and models with heterogeneous structural coefficients, such as time- and yield-dependent coefficients (e.g., [ 15, 29, 31]).
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