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We will use a random effects model because we expect to find heterogeneity between types of parent skills training programmes and because a random effects model has highest generalisability in our empirical examination of summary effect measures for meta-analyses.
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It is observed that the analytical model has high accuracy.
Many of the target earthquakes occur in regions where the combined model has high forecast rates.
Comparing with RBF network, PRBF model has higher prediction accuracy, without the effect of error accumulation.
It is observed from simulations that the analytical model has high accuracy.
The numerical simulation shows that the fracture model has higher fitting consistency, high reliability and adaptability.
The results indicate that this model has higher peak stress and potential high peak strain.
The generated model has high correlation coefficient (R2) at 0.9725 indicating the high confident level.
Also, the proposed model has higher accuracy compared to other models available in literature.
We selected the SSIM2 model because this model has high ability for numerical simulation.
Numerical results show that in urban environments, our proposed model has high accuracy under different configurations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com