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In order to validate this simulation model, we run the model based on actual cargo retrieval schedules obtained from an air cargo terminal.
For each model, we run a regression of SDS on all remaining parameters and include residuals of these routines as an additional variable in the models.
To verify the sediment transport model, we run numerical simulation of sediment transported by the 2004 Indian Ocean tsunami in Lhok Nga, Banda Aceh, Indonesia.
You know, when you look at it, the model we run in Canada is centered around service and convenience, which is no different than what we have in the United States.
To check the convergence of the iBAG unified model, we run two MCMC chains with different starting values.
For each model we run five independent samplers, collect every 1000th sample, and the convergence of Markov chains is monitored using the potential scale reduction factors [ 37] (see Additional file 1: Figures S1 and S2) as well as visual inspection of log-likelihood and sample traces.
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Regarding the choice of compartment model, we ran the curve fitting algorithm on all tissue data using four different models: 1T1k+Vb, 1T2k+Vb, 2T3k+Vb, and 2T4k+Vb.
In order to test whether or to what extent the near-field coseismic GPS displacements can be explained by seismic source model, we ran forward modeling using Ji and Hayes' slip model (Fig. 5).
For the HGDP data and for each model, we ran a total of 500 MCMC runs.
In order to further test our model we ran Monte-Carlo simulations of Eqs.
For each model, we ran 100 replicate runs, with each starting at random points within the domains of the priors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com