Sentence examples for simulation the distribution of from inspiring English sources

In Bayesian simulation, the distribution of variables in missing data process simulated jointly as well as parameters in a regression equation, that is, in WinBugs 30 (estimation platform for Bayesian simulations), the programme is going to treat all of the missing elements of the data as if they were unknown model parameters.

In each simulation, the distribution of the recombination rate is the same for the three simulated populations; this leads to simulated genotypes of different populations that share common haplotypes but have not experienced differences in their recombination rate.

In this simulation, the distribution of the communication latency values closely approximated a normal distribution.

By Monte-Carlo simulation, the distribution of butterfly curves subjected to variations in RL,L are summarized in Fig. 14a.

The results show that over 1 μs of CG MD simulation the distribution of crossing angles exhibit a major population centered around −20°, i.e., the same major population as that for the State 1 simulations.

For each feature, we calculated the Z-score Z = (X - μ)/ σ, where X is the value in the real network, μ the mean of the simulations and s the standard deviation of the simulations; the distribution of simulated values are approximately normal (results not shown).

Through simulation, the distributions of different field-variables, such as strains, temperature and grain size and so on, were obtained.

With the help of finite element (FE) simulation, the distributions of strains, strain rates and hydrostatic pressures inside the welding chamber were quantified.

By dealing with the non-parametric uncertainty analytically and the parametric uncertainty with Monte Carlo Simulations, the distribution of the responses of the hybrid model can be obtained.

To compare average ligand protein interaction energies obtained during MD simulations, the distribution of the simulations (in terms of (Delta V ^{LJ}) and (Delta V ^{Coul})) employed during LIE fitting is characterized according to its average and covariance matrix [21].

On the basis of these different simulations, the distribution of PPP-values appears robust to various demographic scenarios provided that the global estimated population differentiation (average) is not too small (as a rule of thumb FST>0.05).