f(x) = a*exp((b/x).^c) Coefficients (with 95% confidence bounds): a = 0.001515 (-0.007652, 0.01068) b = 9.096e+004 (-3.615e+005, 5.434e+005) c = 0.4522 (0.1275, 0.7768) Goodness of fit: SSE: 0.146 R-square: 0.9992 Adjusted R-square: 0.999 RMSE: 0.1208 Generally the goodness of fit or the ease of fitting of datas into the equation is determined by the R-square value. The R-square value is computed taking base as 1. The more the R-square value remains closer to 1, the better the fit is. In the above case R-square value VFT equation is 0.9997, whereas the R-square value for AVRAMOV equation is 0.9992, so VFT equation gives a good fit as compared to the AVARMOV equation. 4.2.2 VFT & AVRAMOV PLOTS FOR VARYING COMPOSITION: VFT & AVRAMOV for SiO2(55.36 mole%) & PbO(44.34 mole%):
f(x) = a*exp((b/x).^c) Coefficients (with 95% confidence bounds): a = 0.001515 (-0.007652, 0.01068) b = 9.096e+004 (-3.615e+005, 5.434e+005) c = 0.4522 (0.1275, 0.7768) Goodness of fit: SSE: 0.146 R-square: 0.9992 Adjusted R-square: 0.999 RMSE: 0.1208 Generally the goodness of fit or the ease of fitting of datas into the equation is determined by the R-square value. The R-square value is computed taking base as 1. The more the R-square value remains closer to 1, the better the fit is. In the above case R-square value VFT equation is 0.9997, whereas the R-square value for AVRAMOV equation is 0.9992, so VFT equation gives a good fit as compared to the AVARMOV equation. 4.2.2 VFT & AVRAMOV PLOTS FOR VARYING COMPOSITION: VFT & AVRAMOV for SiO2(55.36 mole%) & PbO(44.34 mole%):
PRATIK_THESIS.docx