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This work presents a novel approach for efficient systems design under uncertainty that uses data mining and model fitting methods during optimization to significantly reduce the associated computational effort.
The graphical model fitting methods are powerful, transparent, and informative, and make obvious many fundamental problems with primary data including ceiling effects.
The speckle tracking, border detection and model fitting methods are implemented in C++ using open-source tools.
The model fitting methods of Arrhenius and Savata are used to determine the activation energy of a single simulated curve.
Last, the pyrolysis kinetic parameters of perfusion tubes under non-isothermal and isothermal conditions were calculated, respectively by the isoconversional methods (the Flynn Wall Ozawa (FWO) method and the Kissinger Akahira Sunose (KAS) method) and the isothermal model fitting methods.
First, the present findings are supported by three meta-analytic approaches – graphical model fitting methods, robust count methods, and the more traditional meta-analysis based on dprobit effect size indexes.
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An example of wind speed estimation, based on the model fitting method, appears in Figure 4[63].
Kinetics of the reaction was analyzed by model fitting method when the influence of diffusion was excluded by L9 (34) orthogonal array design.
Another common model fitting method is the RANSAC algorithm [20], which despite the fact that it provides robust estimations, it is appropriate for fitting only one model at a time.
Additional file 1: Additional description of the model fitting method and parameter estimation.
The substitution of the term B-spline for the term P-spline is motivated by the fact that the model fitting method is modified.
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