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If unweighted averaging is conducted, the average outcome will simply reflect the distribution of models chosen by the modeler for inclusion.
The rupture time distribution of Models C and H1 differs from that of Model S3 because they consider multiple hypocenters.
A comparison of performance characteristics including shear strength, plasticity factor, energy dissipation, stiffness variation and Von-Mises stress distribution of models are presented.
Figure 8b, c show magnified distribution of Models B and C. As shown in the figures, Model B with an appropriate elastic coefficient also achieves quicker transition than the rigid body.
However, expanding and improving a load pattern in which it can estimate the inelastic demand distribution of models over the height (including total drift, inter-story, and component ultimate rotations) but yet retaining the simplicity of invariant distributions, is the subject of recent researches.
The BayesMultiState option allows to automatically find posterior distribution of models of evolution using the reversible-jump MCMC method.
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Figure 2 Frequency distribution of model distribution ratios (MDR) for "most similar endpoints".
Figure 4 Frequency distribution of model distribution ratios (MDR) for fungicidal combination products.
Figure 3 Frequency distribution of model distribution ratios (MDR) for herbicidal combination products.
A skewness parameter of 0.3 ensures a nearly normal distribution of model misfit to field observations.
The goal of Bayesian inference is to estimate the posterior distribution of model parameters Φ.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com