Akaikeov kriterij informacije u analizi ruba rasterskog elementa

摘要: The analysis of the edge screen element is based on selection linear sample paper – ink system in comparing models and reality. Although Yule Nielsen suggested Gaussian distribution for description line spread function, our model, stochastic approach subsurface light scattering paper, gives complete with Lorentzian distribution. To determine which two proposed models, or Lorentzian, a better approximation respect to measured data, Akaike information criterion has been used. As observed profiles are asymmetric, both edges have analyzed. It was not possible distinguish model describes resulting measurements, because extremely high value correlation coefficient models. Therefore AIC method applied using routines Origin 8.5 that used analyze data. weight demonstrates LSF than model.