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Model ordered the 300,000 troops under his command to disband, and he then committed suicide.
The more it fell, the more the model ordered the computers to sell.
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For a given model order, the approximation accuracy greatly depends on the initial value selected.
However, for a large model order, the construction based on these data is sensitive to perturbations.
To reduce the model order, the polynomial chaos expansion method is combined with the Arnoldi-based Krylov subspace technique.
We see that at higher model order, the number of tested models only slightly increases, while the number of maximum models reaches infeasible numbers.
Based on the determined system model order, the reduced-order covariance matrix can be obtained according to (16), and the compressed measurement data are shown in Fig. 6.
The relations between the model order – the deepness of modelling and the model accuracy has been also studied by a simulation in the paper.
For the investigation of the MAR model order, the number of time lags used in the model was varied.
For each model order, the ICA approach was repeated 30 times with ICASSO implemented in the GIFT toolbox.
In the unadjusted models, ordered logistic regression models were fitted (panel I).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com