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Log-linear modelling needs categorical data and modelling is usually more successful if the number of categories is limited.
As modelling is usually done by applying modified nodal analysis (MNA), the network equations are given by coupled systems of stiff differential-algebraic equations.
Regression modelling is usually not advised for skewed data, unless the dataset is large.
Probe-level modelling is usually performed at two levels: single locus and multilocus.
Some of the medical imaging software already includes reverse engineering modules and some solid modelling techniques, although the modelling is usually attributed to implant modelling, surgical planning, and so forth and is not suited for the product design modelling.
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The appropriate semi-variogram model is usually obtained through experiments.
In content-oriented cache-enabled networks, content request model is usually modeled by Zipf law [23].
Herein, the point-scatter model is usually employed to model a man-made target.
However, the equivalent model is usually calculated at a specific steady state.
The reservoir model is usually solved by a numerical approach due to its complex nature.
The MOVES model is usually used to provide emission rates in the USA [33].
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