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A link procedure for fitting the cross sections is developed between these two steps.
The numerical procedure for fitting the model is simple and computationally efficient, handling thousands of CNVs in reasonable time.
A detailed description of the procedure for fitting the accumulator model can be found in the Modeling Methods section of the supplement of Brunton et al. (2013).
Brockwell et al. (2007) used a Markov chain Monte-Carlo procedure for fitting point process filter parameters [49].
Once the key regions of separation distance and indentation are detected, the physical parameters describing the relevant interactions operating in these regions are extracted making use of regression procedure for fitting experiments to theory.
At this moment, we cannot recommend this SAS procedure for fitting logistic random effects regression models.
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This is a Python port for the efficient procedures for fitting the entire lasso or elastic-net path for linear regression, logistic and multinomial regression, Poisson regression and the Cox model.
This is a Matlab port for the efficient procedures for fitting the entire lasso or elastic-net path for linear regression, logistic and multinomial regression, Poisson regression and the Cox model.
Our modeling approach is summarized in Supplemental Experimental Procedures, and all details concerning the mathematical properties of our model, its physiological plausibility, and statistical procedures for fitting can be found in previous methodological studies [ 6, 20 22].
For numerical analysis of spectral lines' shape, all differential spectra of secondary electrons were integrated in an identical manner considering 1/E factor and subtractions of a general background distribution curve for inelastic electron scattering and Auger line shapes from direct spectra (i.e., SBL procedure) and using cos2 x extrapolation for component peaks in procedure of fitting.
The quadrature method from the GLIMMIX procedure in SAS was used for fitting the regression model.
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