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While it is not possible to compare the predictive ability of clinical and combined models fitted to the training set, methods fitting the coefficients of the models based on the validation set are fully applicable.
(See Methods, "Fitting Gaussians to hyperspectral data" for details).
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The simulation results of the three methods fit the experiment results properly.
The POLY and BILINT methods fit a function to the data in the background region and use this fit to calculate the new pixel values.
All methods fitted an almost correct ellipse.
For these data, all the methods fitted a correct ellipse.
Due to different CA cases and CA task execution times, the methods fit for different scenarios.
In fact, these methods fit a model separately at each data point x i.
Again, both of the Al Naboulsi methods fit slightly better than the others.
All methods fitted very well with the measured wind speed data except GM model.
Both methods fit a smooth 3D surface to the data.
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