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Performance of each comorbidity measure was assessed using multiple logistic regression by fitting base and full models to the data [ 32].
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The marginal fittings of univariate maximum entropy distributions and the trivariate data fitting based on normal copula fit the data well.
Then absorption coefficients are computed by curve fitting based on the least square method.
Nonlinear curve fitting based on the least squares algorithm was used to optimize parameters in the proposed RDII model.
Finally, the lower eyelid is localized using parabolic curve fitting, based on gray level segmentation.
c) Polynomial Fitting based methods This is by far the most commonly used method for baseline removal of Raman spectra.
This obviously shows the need for grid model fitting based on datasets MAM1 and MAM2 when they are not allowed to be pooled.
And so these are the lines we fit based on our training data.
The proposed SEM is fitted based on a partial least square (PLS) estimation.
Mathematical models with adjustable parameters fitted based on experimental data were developed in order to scale up the process.
Very few model parameters need to be fit based on the design specifications reported in the literature.
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