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The fiber orientation or dispersion function can be prescribed directly from arterial histology data, or, taking a phenomenological approach, based on data fitting from bi-axial measurements.
This exponential curve gave an estimate of the growth curve if the child was not treated, but the form of the curve was a best guess and not based on data fitting over several years.
The existing approaches in DOT can be classified into those based on inverse scattering theory (IST) and analytical (Green's function) solutions to the light propagation model [ 21], and those based on data fitting using optimisation techniques and numerical solutions to the underlying partial differential equations [ 1], also known as the parameter identification method (PIM).
The performance of these asymmetric copulas is discussed and compared based on data fitting and tail dependency characterizations.
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The final estimates were evaluated based on data fit, adequacy to initial estimates, diagnostic parameters and residual analysis.
Studies that focus on or incorporate modelling often attempt to predict long-term changes based on data fitted from shorter term observational or experimental studies (Parker et al. 1999; Gallien et al. 2010).
Each step of the pharmacokinetic modeling was performed with commercially available software (Phoenix™ WinNonlin® 6.2, Pharsight Inc .. Based on data fit, diagnostic plots, Akaike information criterion (AIC) and residuals analysis, the most suitable standard mammillary multi-compartmental model was determined for S-ketamine plasma concentrations of each individual.
The parameter estimation is generally based on data-fitting techniques that involve an iterative process of adjusting kinetic parameter values to minimize the difference between the model predicted value and the corresponding experimental data [ 14]. (4) Model validation is the process of evaluating the goodness of a calibrated model.
Thus, many formulas for calculating the ultimate stress in unbonded tendons were mainly based on experimental data fitting.
However, there is an element of a "self fulfilling prophecy" where the regression model 2 that estimates the outcome measure is based on data that will fit the model better at the estimated points.
Patient classification was performed based on best data fit to one of the 3 possible responses.
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