>>cftool
得到
1g=2
Linear model Poly2:
f(x) = p1*x^2 + p2*x + p3
Coefficients (with 95% confidence bounds):
p1 = 8.959e-005 (-6.018e-007, 0.0001798)
p2 = 0.003271 (-0.004365, 0.01091)
p3 = 1.024 (0.9125, 1.136)
Goodness of fit:
SSE: 0.005153
R-square: 0.9922
Adjusted R-square: 0.9871
RMSE: 0.04145
2g=4
Linear model Poly4:
f(x) = p1*x^4 + p2*x^3 + p3*x^2 + p4*x + p5
Coefficients (with 95% confidence bounds):
p1 = 3.78e-008 (-3.783e-008, 1.134e-007)
p2 = -3.332e-006 (-1.496e-005, 8.293e-006)
p3 = 6.594e-005 (-0.0004892, 0.0006211)
p4 = 0.007842 (-0.0009549, 0.01664)
p5 = 0.9995 (0.9621, 1.037)
Goodness of fit:
SSE: 8.94e-006
R-square: 1
Adjusted R-square: 0.9999
RMSE: 0.00299
3
General model Exp1:
f(x) = a*exp(b*x)
Coefficients (with 95% confidence bounds):
a = 0.9802 (0.8973, 1.063)
b = 0.007864 (0.006483, 0.009244)
Goodness of fit:
SSE: 0.009766
R-square: 0.9853
Adjusted R-square: 0.9816
RMSE: 0.04941