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In comparisons, we find that Trapezoidal Migration Model performs well for MOPs, while its performance is inferior to other migration models for SOPs.
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However, both of these two scenarios were not supported by the estimated s-value of 1, or by the nested migration models performed in IMa2.
Linkage disequilibrium simulations were carried out by the WH program [ 51, 52] and Markov Chain Monte Carlo (MCMC) simulations of the isolation with migration model were performed using the algorithm implemented in the IM program [ 39].
An analysis of population divergence under the "Isolation with Migration" model has been performed using the IM software [ 2].
These parameters served as input for migration modelling, which was performed using a software package (AKTS 2012).
A final analysis with an unconstrained migration model using a likelihood-ratio-test was performed and Akaike Information Criterion (AIC) scores were obtained for each model.
We performed the Likelihood ratio test (LRT) to test the fit of a priori defined scenarios of the gene flow against the full model, assuming n-island migration model.
The finite element humidity migration modeling scheme was then utilized to perform two case studies.
As noted in the Analytic models section, the model performed better at smaller values of the migration rate m.
In [42], two migration models have been compared cloudlet network design i.e. VM bulk migration and VM live migration.
In particular, we considered two migration models.
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