Sentence examples for model parameters assigned from inspiring English sources

Optimal dosing was derived from least squares regression fitted to a dataset of 384 Crohn's patients, with model parameters assigned by simulation.

The model parameters are assigned names with the string '__ID' replaced by 1,2,3,... as appropriate, as seen in the above examples.

All models are estimated using Markov Chain Monte Carlo method where the model parameters are assigned non-informative prior distributions.

Model parameters were assigned Beta Pert probability distribution to capture the uncertainty.

To account for uncertainty in the model parameters, we assigned probability distributions to each when appropriate (table 2).

As stated, epidemic curves simulated using the same disease model parameters were assigned to the same group.

In PSA, model parameters are assigned appropriate statistical distributions and are permitted to vary according to those distributions.

For the one way sensitivity analysis, all model parameters were assigned a uniform probability distribution where possible, allowing ± 30% variability around the baseline.

The results were generated by using a probabilistic sensitivity analysis, whereby model parameters are assigned probability distributions to express the uncertainty surrounding them.

The five model parameters were assigned uninformative and independent prior distributions: Uniform 0,1) distributions for ϕ and p; and exponential distributions with rate 10-6 for each of the β parameters.

Conventionally, hard decision tree-clustered hidden Markov models (HMMs) are used, in which each model parameter is assigned to a single leaf node.