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It is shown that this build-up, represented by a Husid plot, can be very well modelled using a simple lognormal distribution.
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More frequently the temperature effect is modelled using a linear-threshold model where the threshold is derived from segmented regression.
Initially this was modelled using a two-component disorder model with constraints to maintain physically reasonable positional and displacement parameters.
The frequency response of the system is modelled numerically for a variety of wave frequencies, and its time response is modelled using a simple Euler method numerical model.
The systems are modelled using a multilayer perceptron networks.
Distributions of speeds were modelled using a mixture of Gaussians.
Income as an outcome was modelled using a multilevel regression.
The additional influx is modelled using a built-in continuous function to simulate a step function.
Education level was the independent variable and modelled using a categorical variable.
MEG data were source modelled using a vectorised linearly constrained minimum variance beamformer, 20 using a multiple-spheres head model.
Then, the overall exposure to individual biocidal active substances from consumer products was modelled using a worst case scenario approach.
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